Health systems and governments are increasingly required to implement measures that target at-risk populations to prevent noncommunicable diseases. In this review we lay out what governments should be doing to prevent diabetes throughout the life course. The following four target groups were used to structure the specific recommendations: (1) pregnant women and young families, (2) children and adolescents, (3) working age population, and (4) the elderly. The evidence to date supports the effectiveness of some known government policy measures, such as sugar taxes and regulatory measures in the (pre-)school setting for children and adolescents. Many of these appear to be more effective if they are part of a bundle of strategies and if they are supplemented by communication strategies. Although there is a current focus on strategies that target the individual, governments can make use of evidence-based population-level prevention strategies. More research and continuous evaluation of the overall and subgroup-specific effectiveness of policy strategies using high-quality longitudinal studies are needed.
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http://dx.doi.org/10.1007/s00125-019-4941-y | DOI Listing |
Background: Previous studies on public compliance with policies during pandemics have primarily explained it from the perspectives of motivation theory, focusing on normative motivation (trust in policy-making institutions) and calculative motivation (fear of contracting the disease). However, the social amplification of a risk framework highlights that the media plays a key role in this process.
Objective: This study aims to integrate the motivation theory of compliance behavior and the social amplification of risk framework to uncover the "black boxes" of the mechanisms by which normative motivation and calculative motivation influence public policy compliance behavior through the use of media.
Cent Eur J Public Health
December 2024
Faculty of Health and Social Sciences, University of South Bohemia, Ceske Budejovice, Czech Republic.
Objectives: The main aim of the article is to indicate how selected socioeconomic factors contribute to the selected characteristics of the subjectively perceived health of seniors 65+ living in the Czech Republic.
Methods: Data collection took place in the Czech Republic from 27 January 2020 to 14 February 2020. The total number of interviews carried out in the research was 1,172, from a representative quota sample of seniors from the senior population living in the Czech Republic.
Food Sci Nutr
January 2025
Faculty of Chemical and Food Engineering, Bahir Dar Institute of Technology Bahir Dar University Bahir Dar Ethiopia.
Luteolin is widely distributed phytochemical, a flavonoid, in kingdom plantae. Luteolin with potential antioxidant activity prevent ROS-induced damages and reduce oxidative stress which is mainly responsible in pathogenesis of many diseases. Several chemo preventive activities and therapeutic benefits are associated with luteolin.
View Article and Find Full Text PDFSAGE Open Nurs
January 2025
Department of Clinical Nursing, School of Nursing and Public Health, the University of Dodoma, Dodoma, Tanzania.
Background: Preventing unwanted pregnancies, achieving optimal child spacing, and improving quality of life are benefits of modern family planning (FP). This study aimed to assess modern FP use, identify the factors influencing its use and determine the barriers to FP use among women of reproductive age.
Methods: A mixed-methods approach was conducted in the Iringa Region between March and July 2022.
IJID Reg
March 2025
Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands.
Objectives: The overall impact of the COVID-19 pandemic on mortality can be estimated by the assessment of excess deaths from all causes because the reported number of deaths due to COVID-19 do not accurately reflect the true death toll. We assessed excess mortality in 2020 and 2021 in the Netherlands.
Methods: All analyses were performed on data from comprehensive nationwide registers provided by Statistics Netherlands (Centraal Bureau voor de Statistiek), including demographic characteristics and mortality.
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