Summary: The Health Promoting University (HPU) concept encourages universities to incorporate health into the university culture, processes and policies in an effort to promote the health of the university community. Universities worldwide have adopted the approach and a framework for action has been developed to guide universities to become a HPU. However, information on how universities translate the framework into actions is scarce. This study explored the way in which 54 universities from 25 countries across the world implemented the HPU framework. An online questionnaire was used to assess the action areas and items of work addressed by the universities and to determine their adherence to the components of the HPU framework: use of the whole systems approach; multiservice collaboration; recognition by the university authorities; funding availability; membership of a HPU network and evaluation of the initiative. The results showed that these components were addressed by most universities. A Multi Correspondence and cluster analysis identified four types of universities based on the implementation of the components: ‘emerging’ HPUs that are not recognized by the university authorities and tend to not apply the whole systems approach or evaluation of the initiative, and ‘established’ HPUs that are recognized by the authorities, apply the whole systems approach and evaluate the initiative but that differ with regard to funding and membership of a HPU network. These results demonstrate that universities implement the HPU framework for action differently in order to become a Health Promoting University.

Introduction: Universities represent a valuable opportunity to promote health and well-being. Based on the setting approach, the Health Promoting Universities concept has been developed in different countries and contexts. However, the implementation process remains poorly documented. This systematic review aims to describe how universities have implemented the Health Promoting University concept in different cultural contexts. Methods: Pubmed, Medline, Lilacs and Scielo were searched for articles on Health Promoting Universities, published between 1995 and 2015. Studies detailing the implementation of a Health Promoting University approach were included. Selected articles were content analysed paying attention to: (a) the definition of a Health Promoting University; (b) priority areas of action; (c) items of work; (d) coordination of the project; (e) evaluation; and (f) adaptation to the cultural context. Results: Twelve studies were identified for in-depth analysis. Of those, three were theoretical papers, and nine were intervention studies. The programmes described in the selected studies are mostly based on the guidelines of the Edmonton Charter. They incorporated the main areas of action and items of works proposed by the Health Promoting University framework. The implementation of healthy policies and incorporation of health promotion in the curriculum are remaining challenges. Strategies to facilitate adaptation to context include: stakeholder participation in planning and implementation, adaptation of educational material and analysis of needs. Conclusions: The review suggests that most of the universities work towards similar goals, relying on the Health Promoting University framework, yet that the way in which initiatives are implemented depends on the context.

The analysis of the food environment is used to identify areas with gaps in the availability of healthy foods and can be used as a public policy assessment tool. In recent decades, Chile has implemented several strategies and regulations to improve food environments, with encouraging results. Little is known about the scope of these measures in socially vulnerable environments. This study is part of a project that seeks to build an integrated intervention model for healthy school environments in a vulnerable area of Santiago, Chile. The objective of this study was to evaluate the availability of healthy and unhealthy foods around schools and the relationship between it and socioeconomic determinants of the school community in the Chilean context. A cross-sectional study to measure the food environment of informal markets (street food), formal markets (stores), and institutions (schools) was conducted in and around 12 schools (100 m surrounding schools) in a vulnerable urban area of Santiago, Chile. A lack of healthy foods was observed, which was related to some socio-economic determinants and the multidimensional poverty was the most relevant. The diagnosis of food environments around schools can represent an important target for governments to implement policies focused at improving the availability of healthy foods.

Summary: The Health Promoting University (HPU) concept encourages universities to incorporate health into the university context. HPU initiatives exist worldwide, yet information on how universities translate the HPU concept into actions is scarce. This study aimed to identify the factors influencing the implementation of HPU initiatives in Ibero-American universities. Semi-structured interviews were held with seventeen representatives of universities in Ibero-America that had implemented an HPU initiative. All interviewees had been involved in the initiative and had occupied a position of responsibility for at least 1 year before the study. The interviews were carried out remotely, and the data were analyzed using an inductive approach. The main factors influencing the implementation of an HPU initiative were political support by the university authorities, coordination structure, funding, collaboration inside and outside university and participation of the university community. Among them, political support by the university authorities was considered the most important, although some initiatives succeeded without it and managed to obtain support during the implementation process. This study is one of the first to investigate the factors influencing the implementation of the HPU concept. A better understanding of these factors would enable universities to address them to develop the HPU initiative in the best possible conditions.

The aim of the present study was to examine the sex-related associations between accelerometer-measured daily step counts and adiposity indicators in adults from eight Latin American countries. We analyzed data from 2524 adults (aged 18–65 years) from the Latin American Study of Nutrition and Health. Device-measured daily step counts were measured by accelerometers (ActiGraph GT3X). The outcomes were body mass index (BMI; (kg/m2), waist and neck circumference (in cm). Overall, the mean of daily steps counts, BMI, waist and neck circumference were 10699.8, 27.3, 89.6, and 35.8. Weak and negative associations were observed between daily steps counts and BMI (r = −0.17; p < 0.05) and waist circumference (r = −0.16; p < 0.05); however, step counts was not associated with neck circumference. Daily steps counts were negatively associated with BMI (β: −0.054; 95%CI: −0.077; −0.012) and waist circumference (−0.098; −0.165; −0.030) independently of age and socioeconomic level. In men, there were significant negative associations between daily steps counts with BMI (−0.075; −0.119; −0.031) and waist circumference (−0.140; −0.233; −0.048), and in women, there was no significant association with either of the body composition indicators. The findings from this study need to be examined in prospective settings that use device-measured from Latin America.

Background: eHealth and mobile health (mHealth) interventions are promising in promoting healthy behaviors among children and adolescents. Objective: This systematic umbrella review and meta–meta-analysis aimed to evaluate the effectiveness of eHealth and mHealth interventions in promoting healthy behaviors among children and adolescents. Methods: Nine databases were searched for systematic reviews and meta-analyses of randomized controlled trials of eHealth and mHealth interventions targeting physical activity, sedentary behavior, sleep, and dietary outcomes in children and adolescents aged below 18 years. Screening, data extraction, and all assessments were completed by 2 reviewers. Study quality was assessed using the AMSTAR-2 (A Measurement Tool to Assess Systematic Reviews-2) checklist, and meta-analyses were conducted to combine effect sizes using random effects models. Subgroup analyses examined participant and intervention characteristics. Results: A total of 25 systematic reviews comprising 440 randomized controlled trials and 133,501 participants, mostly involving healthy children and adolescents (n=18, 72%) or those who were overweight or with obesity (n=4, 16%), were included. Interventions mostly included active video games or serious games (n=8, 32%), various mHealth interventions (n=6, 24%), various eHealth interventions (n=5, 20%), combined eHealth and mHealth interventions (n=4, 16%), wearables (n=1, 4%), and computer-based interventions (n=1, 4%). Most studies (n=18, 72%) had critically low AMSTAR-2 scores. Meta-analyses based on standardized mean difference (SMD) showed significant effects (all P<.05) for moderate to vigorous physical activity (SMD 0.18, 95% CI 0.09-0.27), total physical activity (SMD 0.24, 95% CI 0.13-0.35), fat intake (SMD 0.10, 95% CI 0.02-0.18), fruit and vegetable intake (SMD 0.11, 95% CI 0.00-0.22), BMI (SMD 0.19, 95% CI 0.11-0.27), and body weight (SMD 0.15, 95% CI 0.01-0.30). No effects were found for sedentary behavior (SMD 0.12, 95% CI –0.11 to 0.35) or sleep (SMD 0.27, 95% CI –0.09 to 0.63). Shorter interventions (lasting <8 weeks) had a greater effect on moderate to vigorous physical activity than longer interventions (lasting ≥8 weeks), while longer interventions (lasting ≥12 weeks) had a greater effect on BMI compared with shorter interventions. Conclusions: eHealth and mHealth interventions offer modest but meaningful improvements in physical activity, diet, and weight management in children and adolescents, with important implications for integrating digital tools into health promotion strategies. Trial Registration: PROSPERO CRD42024537019; https://www.crd.york.ac.uk/PROSPERO/view/CRD42024537019