Measuring Health Vulnerability: An Interdisciplinary Indicator Applied to Mainland Portugal.

Health promotion and inequality reduction are specific goals of the United Nations 2030 Agenda, which are interconnected with several dimensions of life. This work proposes a composite index SEHVI-socioeconomic health vulnerability index-to address Portuguese population socioeconomic determinants that affect health outcomes. Variables composing SEHVI are aligned with the sustainable development goals considering data and times series availability to enable progress monitoring, and variables adequacy to translate populations' life conditions affecting health outcomes. Data for 35 variables and three periods were collected from official national databases. All variables are part of one of the groups: Health determinants (social, economic, cultural, and environmental factors) and health outcomes (mortality indicators). Variables were standardized and normalized by "Distance to a reference" method and then aggregated into the SEHVI formula. Several statistical procedures for validation of SEHVI revealed the internal consistency of the index. For all municipalities, SEHVI was calculated and cartographically represented. Results were analyzed by statistical tests and compared for three years and territory typologies. SEHVI differences were found as a function of population density, suggesting inequalities of communities' life conditions and in vulnerability to health.

Social support network and quality of life in multiple sclerosis patients.

OBJECTIVE: To analyse the relationship between the social support network (SSN) and health related quality of life (HRQOL) in multiple sclerosis (MS) patients. METHODS: The sample comprised 150 consecutive MS patients attending our MS clinic. To assess the socio-demographic data, a specifically designed questionnaire was applied. The HRQOL dimensions were measured with the Short-Form Health Survey Questionnaire-SF36 and the SSN with the Medical Outcomes Study Social Support Survey. Spearman's correlation was used to compare the magnitude of the relationship between the SSN and HRQOL. RESULTS: The mean patient age was 41.7 years (± 10.4; range: 18-70 yr); the mean Expanded Disability Status Score was 2.5 (±2.4; range: 0-9). There was a statistically significant correlation between the structure of the SSN and the HRQOL. CONCLUSION: The composition of the SSN, social group membership and participation in voluntary work have an important role in the HRQOL of patients with MS.

Social support network and quality of life in multiple sclerosis patients / Rede de apoio social e qualidade de vida de pacientes com esclerose múltipla

ABSTRACT Objective To analyse the relationship between the social support network (SSN) and health related quality of life (HRQOL) in multiple sclerosis (MS) patients. Methods The sample comprised 150 consecutive MS patients attending our MS clinic. To assess the socio-demographic data, a specifically designed questionnaire was applied. The HRQOL dimensions were measured with the Short-Form Health Survey Questionnaire-SF36 and the SSN with the Medical Outcomes Study Social Support Survey. Spearman’s correlation was used to compare the magnitude of the relationship between the SSN and HRQOL. Results The mean patient age was 41.7 years (± 10.4; range: 18–70 yr); the mean Expanded Disability Status Score was 2.5 (±2.4; range: 0–9). There was a statistically significant correlation between the structure of the SSN and the HRQOL. Conclusion The composition of the SSN, social group membership and participation in voluntary work have an important role in the HRQOL of patients with MS.

RESUMO Objetivo Analisar a relação entre a rede de apoio social (RAS) e a qualidade de vida relacionada com a saúde (QVRS) em pacientes com esclerose múltipla (EM). Métodos Foram avaliados consecutivamente 150 pacientes na consulta de esclerose múltipla. As dimensões da QVRS foram medidas com Short-Form Health Survey Questionnaire-SF36 e a RAS com o Medical Outcomes Study Social Support Survey. A correlação de Spearman foi utilizada para comparar a magnitude da relação entre a RAS e a QVRS. Resultados A idade média dos pacientes foi 41,7 anos (± 10,4; intervalo: 18–70 anos); a média da EDSS foi 2,5 (± 2,4; intervalo: 0–9). Foi encontrada uma correlação estatisticamente significativa entre a estrutura da RAS e a QVRS. Conclusão A composição da RAS, a pertença a um grupo social e a participação em trabalho voluntário têm um papel importante na QVRS dos pacientes com MS.

Social characteristics and quality of life of portuguese multiple sclerosis patients.

INTRODUCTION: Few studies have analyzed the importance of socio-demographic variables on the perception of health-related quality of life (HRQoL) in patients with multiple sclerosis (MS). METHODS: The sample was composed of 150 patients with MS. Statistical analysis was performed using Mann-Whitney U and Kruskal-Wallis H non-parametric tests comparing socio-demographic items with HRQoL. RESULTS: We found statistically significant differences between age, education levels, employment status, disability and all dimensions of HRQoL. DISCUSSION: This study contributes to a more systematic knowledge about the relationship between social characteristics and HRQoL, which is important to improve the planning of health care in MS patients. CONCLUSION: We found that younger patients, those with higher education level, those who were employed, and with lower disease progression and lower disability, had better HRQoL.

Second hand smoke (SHS) exposure in children. An evaluation of a preventative measure.

AIMS: To evaluate the effectiveness of the preventative programme "Smoke-free Homes" undertaken in 4th year children and their parents or guardians, aiming to reduce children's exposure to second hand smoke (SHS) in the home. MATERIAL AND METHODS: This was a pre- and post-test pre-experimental study, in students from 32 Braga district primary schools 2007/08. A self-administered and structured questionnaire was given out to 795 students in the classroom before and after the programme. In analysing data, we used the chi-squared test for the categorical variables. RESULTS: The rate of children exposed to regular or occasional SHS due to living with at least one smoker dropped from 42.2% to 32.6% (p=0.001). The percentage of students, children of smokers who stated that their father smoked regularly or occasionally at home, dropped from 68.0% pre-test to 51.6% posttest (p=0.000). No significant reduction was seen in mothers. CONCLUSION: Based on the data, we can conclude that the "Smoke-free Homes" programme was effective in preventing smoking in the home, and therefore reducing the rate of children exposed to SHS by about 10%. However, it appears that about a third of children are still exposed, which highlights the need for further measures in this area. Healthcare professionals, particularly those working in Paediatrics, should advise parents to quit smoking, especially in the home.