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• Segmentation approaches with clustering techniques are important for public policy. • National health surveys can help to understand population profiles. • Clusters may support targeted policies towards those without health insurance. Individuals without private health insurance have less access to healthcare, therefore are more prone to experience poor health when compared to those who have. Segmentation is an approach to find homogenous groups of people with the purpose of tailoring services and products. In public policy, segmentation might be used to identify characteristics and needs of specific groups and deliver targeted programs and spare costs. We aim to identify and describe segments within the uninsured population to aid targeted policy actions and improve health. We used secondary data collected from a representative, nationwide health survey (n=18,204). For the purpose of our analysis, we included data from individuals who answered "no" to the question: "Do you have private health insurance?" (n=12,134). Variables pertaining information on socio-demographic, health status, access and care were used. A multiple correspondence analysis was performed to find principal components followed by a hierarchical cluster. We found three clusters. The first (54.12% of our sample) composed by a group of young, middle aged and professionally active individuals without health problems. The second (36.70%), a cluster of aging individuals composed especially by elderly women, either retired or fulfilling domestic tasks, with a long-term health problem. The last (9.17%) composed by elder people, with long-term health problem and scoring low in mental health related questions. Our study found three clusters (profiles of individuals) among the uninsured. Ultimately, our findings aim to support policy makers to deliver customized actions to improve health and provide cost-effective policies. [ABSTRACT FROM AUTHOR]

Summary Obesity is recognised as a serious public health issue, due to its associated morbidity and mortality. This study aimed at estimating the prevalence of overweight and obesity in the Portuguese population through direct measurements obtained by the 1st National Health Examination Survey (INSEF 2015) and to identify its associated sociodemographic factors. INSEF was a nationally representative cross-sectional prevalence study conducted on 4911 Portuguese adults aged 25–74 years, in 2015. Height and weight were measured according to the European Health Examination Survey procedures. Poisson regression was used to estimate the adjusted prevalence ratios of overweight and obesity according to age, marital status, occupational activity, education, urbanization of living area and smoking status. Overall prevalences of overweight and obesity were 39.1% and 28.6%, respectively. The prevalence of overweight was higher among men (45.5% vs 33.2%) while the prevalence of obesity was higher among women (32% vs 25%). The sociodemographic factors associated with overweight and obesity were age, marital status and education. Smoking status was associated with overweight and obesity but only in women. INSEF suggests that a high prevalences of overweight and obesity are found in older individuals, married, with lower education levels and non-smoking women. Public health interventions are urgently required for obesity prevention, namely throughout health literacy strategies. [ABSTRACT FROM AUTHOR]

Few multi-country European studies have investigated the association between grip strength and heart diseases incidence. Thus, the aim of this study is to analyse the longitudinal relationship between grip strength and the diagnosis of heart diseases in European middle-aged and older adults. A prospective cohort study was conducted using data from the Survey of Health, Aging and Retirement in Europe (2004–2017). Participants were 20,829 middle-aged and older adults from 12 countries. GS was objectively measured by a dynamometer and heart diseases diagnosis was self-reported. Incidence rate of heart diseases was calculated and a Cox proportional hazard regression was performed. The heart diseases incidence rate decreased from 930 per 100,000 person-years in the lowest quartile to 380 per 100,000 person-years in the highest grip strength quartile. During the 13 years of follow-up, compared to being in the lowest grip strength quartile, being in the highest quartile decreased the hazard of being diagnosed with a heart disease in 36 % (95 % confidence interval [CI]: 0.53, 0.78) for the whole sample, 35 % (95 % CI: 0.51, 0.84) for men and 46 % (95 % CI: 0.40, 0.73) for women. Grip strength seems to be inversely associated with the incidence of heart diseases among European middle-aged and older adults. Scientific evidence has highlighted the potential role of grip strength as a risk stratifying measure for heart diseases, suggesting its potential to be included in the cardiovascular risk scores used in primary care. However, further research is still needed to clarify it. • Higher grip strength was associated with a decreased risk of future heart diseases. • There are possible gender differences in the association between grip strength and heart diseases. • Grip strength may be an indicator of heart disease to be used in risk assessing scores in primary care. [ABSTRACT FROM AUTHOR]

Ambient air pollution (AAP) is recognized a cardiovascular risk factor and lipid profile dysregulation seems to be one of the potential mediators involved. However, results from epidemiologic research on the association between exposure to AAP and altered lipid profile have been inconsistent. This study aims to systematically review and meta-analyse epidemiologic evidence on the association between exposure to ambient air pollutants (particulate matter, nitrogen oxides, sulphur dioxide, ozone, carbon monoxide, back carbon) and lipid profile parameters (Total cholesterol; High-Density Lipoprotein Cholesterol; Low-Density Lipoprotein Cholesterol; TG-Triglycerides) or dyslipidaemia. Systematic electronic literature search was performed in PubMed, Web of Science and Scopus databases (last search on 24th May 2019) using keywords related to the exposure (ambient air pollutants) and to the outcomes (lipid profile parameters/dyslipidaemia). Qualitative and quantitative information of the studies were extracted and fixed or random-effects models were used to obtain a pooled effect estimate per each pollutant/outcome combination. 22 studies were qualitatively analysed and, from those, 3 studies were quantitatively analysed. Particulate matters were the most studied pollutants and a considerable heterogeneity in air pollution assessment methods and outcomes definitions was detected. Age, obesity related measures, tobacco consumption, sex and socioeconomic factors were the most frequent considered variables for confounding adjustment in the models. In a long-term exposure scenario, we found a 3.14% (1.36%–4.95%) increase in TG levels per 10 μg/m3 PM 10 increment and a 4.24% (1.37%–7.19%) increase in TG levels per 10 μg/m3 NO 2 increment. No significant associations were detected for the remaining pollutant/outcome combinations. Despite the few studies included in the meta-analysis, our study suggests some epidemiologic evidence supporting the association between PM 10 and NO 2 exposures and increased TG levels. Due to the very low level of evidence, more studies are needed to clarify the role of lipid profile dysregulation as a mediator on the AAP adverse cardiovascular effects. Image 1 • Ambient air pollution (AAP) is recognized as a risk factor for cardiovascular diseases. • First systematic review and meta-analysis on the association between ambient air pollutants exposure and lipid profile. • Some epidemiologic evidence supporting the association between PM 10 and NO 2 exposures and increased Triglycerides levels. • More studies are needed to clarify the association between ambient air pollutants exposure and lipid profile. [ABSTRACT FROM AUTHOR]