This study compares the existing statistical association between suicide mortality and the characteristics of places of residence (municipalities), before and during the current economic crisis, in Portugal. We found that (1) the traditional culture-based North/South pattern of suicidal behaviour has faded away, while the socioeconomic urban/rural divide has become more pronounced; (2) suicide is associated with higher levels of rurality and material deprivation; and (3) recent shifts in suicidal trends may result from the current period of crisis. Strategies targeting rural areas combined with public policies that address area deprivation may have important implications for tackling suicide.

Background: Identifying which factors contribute to involuntary psychiatric hospitalization may support initiatives to reduce its frequency. This study examines the sociodemographic, clinical, and contextual factors associated with involuntary hospitalization of patients from five Portuguese psychiatric departments in 2002, 2007 and 2012. Methods: Data from all admissions were extracted from clinical files. A Poisson generalized linear model estimated the association between the number of involuntary hospitalizations per patient in one year and sociodemographic, clinical, and contextual factors. Results: An increment of involuntary hospitalizations was associated with male gender [exp( $$\widehat{\upbeta }$$β ^ ) = 1.31; 95%CI 1.06–1.62, p < 0.05], having secondary and higher education [exp( $$\widehat{\upbeta }$$β ^ ) = 1.45; 95%CI 1.05–2.01, p < 0.05, and exp( $$\widehat{\upbeta }$$β ^ ) = 1.89; 95%CI 1.38–2.60, p < 0.001, respectively], a psychiatric diagnosis of psychosis [exp( $$\widehat{\upbeta }$$β ^ ) = 2.02; 95%CI 1.59–2.59, p < 0.001], and being admitted in 2007 and in 2012 [exp( $$\widehat{\upbeta }$$β ^ ) = 1.61; 95%CI 1.21–2.16, p < 0.01, and exp( $$\widehat{\upbeta }$$β ^ ) = 1.73; 95%CI 1.31–2.32, p < 0.001, respectively]. A decrease in involuntary hospitalizations was associated with being married/cohabitating [exp( $$\widehat{\upbeta }$$β ^ ) = 0.74; 95%CI 0.56–0.99, p < 0.05], having experienced a suicide attempt [exp( $$\widehat{\upbeta }$$β ^ ) = 0.26; 95%CI 0.15–0.42, p < 0.001], and belonging to the catchment area of three of the psychiatric services evaluated [exp( $$\widehat{\upbeta }$$β ^ ) = 0.65; 95%CI 0.49–0.86, p < 0.01, exp( $$\widehat{\upbeta }$$β ^ ) = 0.67; 95%CI 0.49–0.90, p < 0.01, and exp( $$\widehat{\upbeta }$$β ^ ) = 0.67; 95%CI 0.46–0.96, p < 0.05 for Hospital de Magalhães Lemos, Centro Hospitalar Psiquiátrico de Lisboa and Unidade Local de Saúde do Baixo Alentejo, respectively]. Conclusions: The findings suggest that involuntary psychiatric hospitalizations in Portugal are associated with several sociodemographic, clinical, and contextual factors. This information may help identify high-risk patients and inform the development of better-targeted preventive interventions to reduce these hospitalizations.

Mental health is an intrinsic dimension of health influenced by individual and contextual factors. This cross-sectional study analyzes the association between the individual, neighborhood characteristics, and one’s self-assessed mental health status in the Lisbon region after an economic crisis. Via the application of multilevel regression models, the study assesses the link between one’s neighborhood environment—deprivation, low self-assessed social capital, and low self-assessed satisfaction with the area of residence—and mental health regardless of one’s individual characteristics. Constraints related to the economic crisis play an important role in the explanation of poor mental health.

The Geography of Diabetes Mellitus in Portugal: How Context Influence the Risk of Dying

Background: Non-communicable diseases are a leading cause of health loss worldwide, in part due to unhealthy lifestyles. Metabolic-based diseases are rising with an unhealthy body-mass index (BMI) in rural areas as the main risk factor in adults, which may be amplified by wider determinants of health. Changes in rural environments reflect the need of better understanding the factors affecting the self-ability for making balanced decisions. We assessed whether unhealthy lifestyles and environment in rural neighbourhoods are reflected into metabolic risks and health capability. Methods: We conducted a community-based cross-sectional study in 15 Portuguese rural neighbourhoods to describe individuals’ health functioning condition and to characterize the community environment. We followed a qualitatively driven mixed-method design to gather information about evidence-based data, lifestyles and neighbourhood satisfaction (incorporated in eVida technology), within a random sample of 270 individuals, and in-depth interviews to 107 individuals, to uncover whether environment influence the ability for improving or pursuing heath and well-being. Results: Men showed to have a 75% higher probability of being overweight than women (p-value = 0.0954); and the reporting of health loss risks was higher in women (RR: 1.48; p-value = 0.122), individuals with larger waist circumference (RR: 2.21; IC: 1.19; 4.27), overweight and obesity (RR: 1.38; p-value = 0.293) and aged over 75 years (RR: 1.78; p-value = 0.235; when compared with participants under 40 years old). Metabolic risks were more associated to BMI and physical activity than diet (or sleeping habits). Overall, metabolic risk linked to BMI was higher in small villages than in municipalities. Seven dimensions, economic development, built (and natural) environment, social network, health care, demography, active lifestyles, and mobility, reflected the self-perceptions in place affecting the individual ability to make healthy choices. Qualitative data exposed asymmetries in surrounding environments among neighbourhoods and uncovered the natural environment and natural resources specifies as the main value of rural well-being. Conclusions: Metabolic risk factors reflect unhealthy lifestyles and can be associated with environment contextual-dependent circumstances. People-centred approaches highlight wider socioeconomic and (natural) environmental determinants reflecting health needs, health expectations and health capability. Our community-based program and cross-disciplinary research provides insights that may improve health-promoting changes in rural neighbourhoods.

Introduction: Suicide is considered a public health priority. It is a complex phenomenon resulting from the interaction of several factors, which do not depend solely on individual conditions. This study analyzes the spatio-temporal evolution of suicide mortality between 1980 and 2015, identifying areas of high risk, and their variation, in the 278 municipalities of Continental Portugal.Material and Methods: Based on the number of self-inflicted injuries and deaths from suicide and the resident population, the spatio-temporal evolution of the suicide mortality rate was assessed via: i) a Poisson joinpoint regression model, and ii) spatio-temporal clustering methods.Results: The suicide mortality rate evolution showed statistically significant increases over three periods (1980 - 1984; 1999 - 2002 and 2006 - 2015) and two statistically significant periods of decrease (1984 - 1995 and 1995 - 1999). The spatio-temporal analysis identified five clusters of high suicide risk (relative risk >1) and four clusters of low suicide risk (relative risk < 1).Discussion: The periods when suicide mortality increases seem to overlap with times of economic and financial instability. The geographical pattern of suicide risk has changed: presently, the suicide rates from the municipalities in the Center and North are showing more similarity with those seen in the South, thus increasing the ruralization of the phenomenon of suicide.Conclusion: Between 1980 and 2015 the spacio-temporal pattern of mortality from suicide has been changing and is a phenomenon that is currently experiencing a growing trend (since 2006) and is of higher risk in rural areas.