Access to health care, nutrition and dietary habits among school-age children living in socio-economic inequality contexts: results from the "ForGood: Sport is Well-Being" programme.

Social frailty is a warring phenomenon in Europe, negatively impacting children's health and nutrition. We present the results of a social programme facilitating access to physical activities for vulnerable children in Italy. 311 school-age children enrolled in the programme between 2015 and 2017 were assessed for health and lifestyle, anthropometric and nutritional status. Data were compared by origin (Italians vs. immigrants) and then immigrants were split into sub-groups: first- and second-generation. Poor socio-economic status exposed children to a lack of access to health services, and drove imbalanced eating behaviour. 20.8% of children were not registered with the National Health Services (immigrants p < .0001); 22% were not fully vaccinated (no differences between groups). A double burden of malnutrition coexisted: overweight was higher for Italians, underweight and poor linear growth for immigrants. Nearly 40% of children had a poor Mediterranean Diet adequacy (KIDMED index). Our findings show that when social programmes, besides their main scope of inclusion and integration, holistically approach their beneficiaries, they can play an important role in monitoring lifestyle conditions and facilitating access to primary health care.

Can risk be predicted? An umbrella systematic review of current risk prediction models for cardiovascular diseases, diabetes and hypertension.

OBJECTIVE: To provide an overview of the currently available risk prediction models (RPMs) for cardiovascular diseases (CVDs), diabetes and hypertension, and to compare their effectiveness in proper recognition of patients at risk of developing these diseases. DESIGN: Umbrella systematic review. DATA SOURCES: PubMed, Scopus, Cochrane Library. ELIGIBILITY CRITERIA: Systematic reviews or meta-analysis examining and comparing performances of RPMs for CVDs, hypertension or diabetes in healthy adult (18-65 years old) population, published in English language. DATA EXTRACTION AND SYNTHESIS: Data were extracted according to the following parameters: number of studies included, intervention (RPMs applied/assessed), comparison, performance, validation and outcomes. A narrative synthesis was performed. Data were reported according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. STUDY SELECTION: 3612 studies were identified. After title/abstract screening and removal of duplicate articles, 37 studies met the eligibility criteria. After reading the full text, 13 were deemed relevant for inclusion. Three further papers from the reference lists of these articles were then added. STUDY APPRAISAL: The methodological quality of the included studies was assessed using the AMSTAR tool. RISK OF BIAS IN INDIVIDUAL STUDIES: Risk of Bias evaluation was carried out using the ROBIS tool. RESULTS: Sixteen studies met the inclusion criteria: six focused on diabetes, two on hypertension and eight on CVDs. Globally, prediction models for diabetes and hypertension showed no significant difference in effectiveness. Conversely, some promising differences among prediction tools were highlighted for CVDs. The Ankle-Brachial Index, in association with the Framingham tool, and QRISK scores provided some evidence of a certain superiority compared with Framingham alone. LIMITATIONS: Due to the significant heterogeneity of the studies, it was not possible to perform a meta-analysis. The electronic search was limited to studies in English and to three major international databases (MEDLINE/PubMed, Scopus and Cochrane Library), with additional works derived from the reference list of other studies; grey literature with unpublished documents was not included in the search. Furthermore, no assessment of potential adverse effects of RPMs was carried out. CONCLUSIONS: Consistent evidence is available only for CVD prediction: the Framingham score, alone or in combination with the Ankle-Brachial Index, and the QRISK score can be confirmed as the gold standard. Further efforts should not be concentrated on creating new scores, but rather on performing external validation of the existing ones, in particular on high-risk groups. Benefits could be further improved by supplementing existing models with information on lifestyle, personal habits, family and employment history, social network relationships, income and education. PROSPERO REGISTRATION NUMBER: CRD42018088012.