Preventing Chronic Disease (PCD) is a peer-reviewed electronic journal established by the National Center for Chronic Disease Prevention and Health Promotion. PCD provides an open exchange of information and knowledge among researchers, practitioners, policy makers, and others who strive to improve the health of the public through chronic disease prevention.
Migration is a stressful experience and research shows that newly arrived migrants in Sweden suffer from different challenges and struggle to relate to parenting in a new culture that is different from their own. The Swedish Child Health Services (CHS) focuses on promoting health among children, as well as supporting parents in parenting. Although this is a goal, migrant parents participate at lower rates in parental support groups. This paper aims to discuss how the Swedish CHS can support these families and address the need for improvement in the parental support offered to migrant parents during transition into their host country. The Swedish government decided to place greater emphasis and resources on supporting parents and promoting equal health among families in Sweden, with special emphasis on migrants and other vulnerable groups. This report from the Swedish government indicates the importance of creating knowledge about new ways, methods, and actions that may be needed to inc
In recent years, a concerted political effort has been made at national and EU level to promote the consumption of healthy foods. The European Commission (EC) expressed a need for a harmonized, mandatory front-of-pack nutrition labelling (FOPL) system at EU level. The EC intends to adopt the proposal by the end of 2022. Our research work seeks to understand the public discourse on FOPL in the EU through Twitter, by content analysis of tweets, sentiment analysis and mapping network characteristics. Search and data collection of tweets were carried out by using Twitter Application programming interface (API) without time or language limit. The content was coded using the QRS Nvivo software package and analysed by themes. Automatic sentiment analysis was carried out by QSR Nvivo, network analysis by Gephi 0.9.2. 4073 tweets were posted, mainly from the United Kingdom, Spain and France. The emerging themes from Twitter discussions include food labelling types, food industry, healthy food v
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