Ecological study of isolation and suicide in Tuscany (Italy)

Can We Develop a Risk Map for Suicide Rates? An Ecological Study in Portugal

Place of residence can influence suicide acts, beyond individual characteristics. The aim of this study was to identify areas with a greater risk of suicide, identify possible associations with ecological risk factors and develop a risk map of suicide in Portugal. Spatial scan statistic was used to identify critical areas and associations were analyzed through logistic regression models. The results indicate that the spatial distribution of suicides could be determined by a set of ecological risk factors, and that being a foreigner (OR 26.64; 95% CI 13.15-53.97), having no religion (OR 8.65; 95% CI 4.62-16.19) and having lower levels of education (OR 1.20; 95% CI 1.09-3.64) are associated with a higher risk of suicide in Portugal. Results indicate that local risk factors should be taken into account, in accordance to the priority Health Program in the Mental Health area of the Directorate-General for Health of Portugal.

Risk factors for suicide in rural Italy: a case-control study

PURPOSE

Increased frequency of suicide in rural areas of Tuscany has been described since the 1970s. A case-control study was conducted in 2014 and 2015. The objective of this study was to identify major individual risk factors related to suicides in six rural districts of Tuscany.

METHODS

Cases were identified as all 128 suicides occurred in six rural districts between 2009 and 2013. Controls (three for each case) were matched for age, sex, and general practice. Information was collected from GPs using a structured questionnaire. Univariate and multivariate analyses were carried out to investigate the association between individual risk factors and suicide.

RESULTS

Informants for 91 cases of the 128 identified cases were successfully interviewed (response rate 71.1%). About 40.5-65.9% suicide cases and 11.4-20.0% of controls had some psychiatric pathology, accordingly to different definitions. Univariate conditional regression analysis showed that living in isolated houses (OR 2.48), living alone (OR 2.97), not being married (OR 2.63), low income (OR 2.73), psychiatric pathology (OR 9.70), psychotropic medication (OR 5.58), problems with relatives (OR 14.78), psychiatric family history (OR 5.67), and suicidal ideation (OR 15.61) were all risk factors. Practising religion (OR 0.27) was the only protective factor identified. Multivariate regression identified two independently and significantly associated variables namely, psychiatric pathology (OR 8.87) and living alone (OR 2.30).

CONCLUSIONS

Results of this study showed, similarly to recent research, that not all suicide events are the results of psychiatric pathology. Prevention strategies should, therefore, target both socio-economic and clinical risk factors.

Nursing diagnosis for Risk of Suicide in elderly: integrative review

OBJECTIVE

To analyze the specialized literature regarding the risk factors in nursing diagnosis for suicide risks in elderly.

METHOD

This is an integrative literature review carried out during June 2015 in the following databases with no time limit: MEDLINE, PsycINFO and CINAHL.

RESULTS

A total of 80 full papers were analyzed. It was suggested the inclusion of 23 risk factors in NANDA-I taxonomy: apathy; unrest; low self esteem; carelessness with medication; Inability to ask for help; Inability to express feelings; suicidal plan; rigidity; functional disability; visual problems; sadness; hostility; anxiety; failure; frustration; unhappiness; dishonor; frequent visits to a physician with unclear symptoms; social deprivation; social devaluation; psychological violence; Interfamilial violence; and financial violence.

CONCLUSION

The risks for suicide presented in NANDA-I taxonomy need to be refined and adapted to the elderly reality. Furthermore, a review is also recommended for the risk factors not included in this classification.

Overall, gender and social inequalities in suicide mortality in Iran, 2006-2010: a time trend province-level study

OBJECTIVES

Suicide is a major global health problem imposing a considerable burden on populations in terms of disability-adjusted life years. There has been an increasing trend in fatal and attempted suicide in Iran over the past few decades. The aim of the current study was to assess overall, gender and social inequalities across Iran's provinces during 2006-2010.

DESIGN

Ecological study.

SETTING

The data on distribution of population at the provinces were obtained from the Statistical Centre of Iran. The data on the annual number of deaths caused by suicide in each province were gathered from the Iranian Forensic Medicine Organization.

METHODS

Suicide mortality rate per 100,000 population was calculated. Human Development Index was used as the provinces' social rank. Gini coefficient, rate ratio and Kunst and Mackenbach relative index of inequality were used to assess overall, gender and social inequalities, respectively. Annual percentage change was calculated using Joinpoint regression.

RESULTS

Suicide mortality has slightly increased in Iran during 2006-2010. There was a substantial and constant overall inequality across the country over the study period. Male-to-female rate ratio was 2.34 (95% CI 1.45 to 3.79) over the same period. There were social inequalities in suicide mortality in favour of people in better-off provinces. In addition, there was an increasing trend in these social disparities over time, although it was not statistically significant.

CONCLUSIONS

We found substantial overall, gender and social disparities in the distribution of suicide mortality across the provinces in Iran. The findings showed that men in the provinces with low socioeconomic status are at higher risk of suicide mortality. Further analyses are needed to explain these disparities.

Suicide rates and income in São Paulo and Brazil: a temporal and spatial epidemiologic analysis from 1996 to 2008

BACKGROUND

In a classical study, Durkheim noted a direct relation between suicide rates and wealth in the XIX century France. Since that time, several studies have verified this relationship. It is known that suicide rates are associated with income, although the direction of this association varies worldwide. Brazil presents a heterogeneous distribution of income and suicide across its territory; however, evaluation for an association between these variables has shown mixed results. We aimed to evaluate the relationship between suicide rates and income in Brazil, State of São Paulo (SP), and City of SP, considering geographical area and temporal trends.

METHODS

Data were extracted from the National and State official statistics departments. Three socioeconomic areas were considered according to income, from the wealthiest (area 1) to the poorest (area 3). We also considered three regions: country-wide (27 Brazilian States and 558 Brazilian micro-regions), state-wide (645 counties of SP State), and city-wide (96 districts of SP city). Relative risks (RR) were calculated among areas 1, 2, and 3 for all regions, in a cross-sectional approach. Then, we used Joinpoint analysis to explore the temporal trends of suicide rates and SaTScan to investigate geographical clusters of high/low suicide rates across the territory.

RESULTS

Suicide rates in Brazil, the State of SP, and the city of SP were 6.2, 6.6, and 5.4 per 100,000, respectively. Taking suicide rates of the poorest area (3) as reference, the RR for the wealthiest area was 1.64, 0.88, and 1.65 for Brazil, State of SP, and city of SP, respectively (p for trend <0.05 for all analyses). Spatial cluster of high suicide rates were identified at Brazilian southern (RR = 2.37), state of SP western (RR = 1.32), and city of SP central (RR = 1.65) regions. A direct association between income and suicide were found for Brazil (OR = 2.59) and the city of SP (OR = 1.07), and an inverse association for the state of SP (OR = 0.49).

CONCLUSIONS

Temporospatial analyses revealed higher suicide rates in wealthier areas in Brazil and the city of SP and in poorer areas in the State of SP. We further discuss the role of socioeconomic characteristics for explaining these discrepancies and the importance of our findings in public health policies. Similar studies in other Brazilian States and developing countries are warranted.

Spatial clusters of suicide in the municipality of São Paulo 1996-2005: an ecological study

BACKGROUND

In a classical study, Durkheim mapped suicide rates, wealth, and low family density and realized that they clustered in northern France. Assessing others variables, such as religious society, he constructed a framework for the analysis of the suicide, which still allows international comparisons using the same basic methodology. The present study aims to identify possible significantly clusters of suicide in the city of São Paulo, and then, verify their statistical associations with socio-economic and cultural characteristics.

METHODS

A spatial scan statistical test was performed to analyze the geographical pattern of suicide deaths of residents in the city of São Paulo by Administrative District, from 1996 to 2005. Relative risks and high and/or low clusters were calculated accounting for gender and age as co-variates, were analyzed using spatial scan statistics to identify geographical patterns. Logistic regression was used to estimate associations with socioeconomic variables, considering, the spatial cluster of high suicide rates as the response variable. Drawing from Durkheim's original work, current World Health Organization (WHO) reports and recent reviews, the following independent variables were considered: marital status, income, education, religion, and migration.

RESULTS

The mean suicide rate was 4.1/100,000 inhabitant-years. Against this baseline, two clusters were identified: the first, of increased risk (RR=1.66), comprising 18 districts in the central region; the second, of decreased risk (RR=0.78), including 14 districts in the southern region. The downtown area toward the southwestern region of the city displayed the highest risk for suicide, and though the overall risk may be considered low, the rate climbs up to an intermediate level in this region. One logistic regression analysis contrasted the risk cluster (18 districts) against the other remaining 78 districts, testing the effects of socioeconomic-cultural variables. The following categories of proportion of persons within the clusters were identified as risk factors: singles (OR=2.36), migrants (OR=1.50), Catholics (OR=1.37) and higher income (OR=1.06). In a second logistic model, likewise conceived, the following categories of proportion of persons were identified as protective factors: married (OR=0.49) and Evangelical (OR=0.60).

CONCLUSIONS

This risk/ protection profile is in accordance with the interpretation that, as a social phenomenon, suicide is related to social isolation. Thus, the classical framework put forward by Durkheim seems to still hold, even though its categorical expression requires re-interpretation.