Background: Working in healthcare often involves stressful situations and a high workload, and many healthcare workers experience burnout complaints or suffer from mental or physical problems. This also affects the overall quality of health care. Many previous workplace interventions focused on knowledge exchange instead of other health cognitions, and were not particularly effective.
View Article and Find Full Text PDFBackground: Youth healthcare has an important role in promoting a healthy lifestyle in young children in order to prevent lifestyle-related health problems. To aid youth healthcare in this task, a new lifestyle screening tool will be developed. The aim of this study was to explore how youth healthcare professionals (YHCP) could best support parents in improving their children's lifestyle using a new lifestyle screening tool for young children.
View Article and Find Full Text PDFInt J Health Plann Manage
September 2024
Chronic pain exerts a significant impact on the quality of life, giving rise to both physical and psycho-social vulnerabilities. It not only leads to direct costs associated with treatments, but also results in indirect costs due to the reduced productivity of affected individuals. Chronic conditions can be improved by reducing modifiable risk factors.
View Article and Find Full Text PDFIntroduction: Chronic non-communicable diseases (NCDs) are predominantly related to modifiable health behaviors and account for 74% of global deaths at present. Behavior modification through self-management is a strategy to prevent NCDs. Chronic Disease Self-Management Programs (CDSMPs) have demonstrated improvements in health behaviors, health status, and use of healthcare.
View Article and Find Full Text PDFEvaluating, discussing, and advising on young children's lifestyles may contribute to timely modification of unhealthy behaviour and prevention of adverse health consequences. We aimed to develop and evaluate a new lifestyle screening tool for children aged 1-3 years. The lifestyle screening tool "FLY-Kids" was developed using data from lifestyle behaviour patterns of Dutch toddlers, age-specific lifestyle recommendations, target group analyses, and a Delphi process.
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