Characteristics of neighborhood environment (social cohesion and safety) and common mental disorders in ELSA-Brasil study: a multilevel analysis
The purpose of this study was to determine if self-reported characteristics of social cohesion and local neighborhood safety positively affect the mental health of their residents, regardless of individual characteristics. A sample of participants in the Brazilian Longitudinal Study of Adult Health...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Escola Nacional de Saúde Pública, Fundação Oswaldo Cruz
2019-01-01
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| Series: | Cadernos de Saúde Pública |
| Subjects: | |
| Online Access: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0102-311X2019000105001&lng=en&tlng=en |
| _version_ | 1811334872381259776 |
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| author | Tatiani Secretti Maria Angélica Antunes Nunes Maria Inês Schmidt Markus Chagas Stein Simone M. Santos |
| author_facet | Tatiani Secretti Maria Angélica Antunes Nunes Maria Inês Schmidt Markus Chagas Stein Simone M. Santos |
| author_sort | Tatiani Secretti |
| collection | DOAJ |
| description | The purpose of this study was to determine if self-reported characteristics of social cohesion and local neighborhood safety positively affect the mental health of their residents, regardless of individual characteristics. A sample of participants in the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil) baseline was used. The Clinical Interview Schedule-Revised (CIS-R) instrument was used for tracking common mental disorders (CMD). Social cohesion and safety were measured by validated scales of neighborhood environment self-reported characteristics. The multilevel logistic regression model was used to estimate the effect in neighborhoods (level 2) and individuals (level 1), as well as the odds ratios for each neighborhood explanatory variable and social characteristics in the CMD. The results showed that part of the variance (2.3%), in the common mental disorders prevalence is attributed to local neighborhoods. The characteristics of social cohesion and safety remained significant, even after the adjustment of individual explanatory variables. This study confirmed the hypothesis that individuals living in neighborhoods where they perceive low social cohesion and safety present a higher chance of developing CMD. |
| first_indexed | 2024-04-13T17:15:44Z |
| format | Article |
| id | doaj.art-55160a13b3cf4d728eedfbf707974eea |
| institution | Directory Open Access Journal |
| issn | 1678-4464 |
| language | English |
| last_indexed | 2024-04-13T17:15:44Z |
| publishDate | 2019-01-01 |
| publisher | Escola Nacional de Saúde Pública, Fundação Oswaldo Cruz |
| record_format | Article |
| series | Cadernos de Saúde Pública |
| spelling | doaj.art-55160a13b3cf4d728eedfbf707974eea2022-12-22T02:38:08ZengEscola Nacional de Saúde Pública, Fundação Oswaldo CruzCadernos de Saúde Pública1678-44642019-01-0135110.1590/0102-311x00197017S0102-311X2019000105001Characteristics of neighborhood environment (social cohesion and safety) and common mental disorders in ELSA-Brasil study: a multilevel analysisTatiani SecrettiMaria Angélica Antunes NunesMaria Inês SchmidtMarkus Chagas SteinSimone M. SantosThe purpose of this study was to determine if self-reported characteristics of social cohesion and local neighborhood safety positively affect the mental health of their residents, regardless of individual characteristics. A sample of participants in the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil) baseline was used. The Clinical Interview Schedule-Revised (CIS-R) instrument was used for tracking common mental disorders (CMD). Social cohesion and safety were measured by validated scales of neighborhood environment self-reported characteristics. The multilevel logistic regression model was used to estimate the effect in neighborhoods (level 2) and individuals (level 1), as well as the odds ratios for each neighborhood explanatory variable and social characteristics in the CMD. The results showed that part of the variance (2.3%), in the common mental disorders prevalence is attributed to local neighborhoods. The characteristics of social cohesion and safety remained significant, even after the adjustment of individual explanatory variables. This study confirmed the hypothesis that individuals living in neighborhoods where they perceive low social cohesion and safety present a higher chance of developing CMD.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0102-311X2019000105001&lng=en&tlng=enTranstornos MentaisMeio SocialAnálise Multinível |
| spellingShingle | Tatiani Secretti Maria Angélica Antunes Nunes Maria Inês Schmidt Markus Chagas Stein Simone M. Santos Characteristics of neighborhood environment (social cohesion and safety) and common mental disorders in ELSA-Brasil study: a multilevel analysis Cadernos de Saúde Pública Transtornos Mentais Meio Social Análise Multinível |
| title | Characteristics of neighborhood environment (social cohesion and safety) and common mental disorders in ELSA-Brasil study: a multilevel analysis |
| title_full | Characteristics of neighborhood environment (social cohesion and safety) and common mental disorders in ELSA-Brasil study: a multilevel analysis |
| title_fullStr | Characteristics of neighborhood environment (social cohesion and safety) and common mental disorders in ELSA-Brasil study: a multilevel analysis |
| title_full_unstemmed | Characteristics of neighborhood environment (social cohesion and safety) and common mental disorders in ELSA-Brasil study: a multilevel analysis |
| title_short | Characteristics of neighborhood environment (social cohesion and safety) and common mental disorders in ELSA-Brasil study: a multilevel analysis |
| title_sort | characteristics of neighborhood environment social cohesion and safety and common mental disorders in elsa brasil study a multilevel analysis |
| topic | Transtornos Mentais Meio Social Análise Multinível |
| url | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0102-311X2019000105001&lng=en&tlng=en |
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