Is living near green areas beneficial to mental health? Results of the Pró-Saúde Study.

OBJECTIVE: To investigate the association between exposure to green areas in the surroundings of the residence and the presence of common mental disorders among adults, according to different income strata. METHODS: Cross-sectional study with 2,584 participants from the Pró-Saúde Study (2006), residing in the city of Rio de Janeiro. Common Mental Disorders were measured using the General Health Questionnaire (GHQ-12) and exposure to green areas was measured using the normalized difference vegetation index, in buffers with radiuses between 100 and 1,500 meters around the residence. We used the mean and maximum normalized difference vegetation index categorized into quartiles. The study population was divided into three subgroups, according to the income: low, intermediate, and high. Odds ratios and their 95% confidence intervals were estimated with logistic regression models. The models were adjusted by sex and age, with and without inclusion of physical activity practice. RESULTS: The proportion of common mental disorders was 30% and 39% among men and women, respectively. The results of the adjusted models showed an inverse association between the presence of green areas in the surroundings of the residence and the occurrence of common mental disorders, in the buffer of 200 meters in the intermediate-income group and in the buffers of 400 and 1,500 meters in the low-income group. The odds ratio ranged from 0.52 (buffer of 1,500 meters) to 0.68 (buffer of 200 meters). The association found was independent of physical activity practice. CONCLUSIONS: The evidence found suggests the existence of a beneficial effect of urban green areas on the mental health of lower-income individuals. These findings can help in understanding how the urban environment can affect the mental health of the population.

A Nationwide Snapshot of the Predictors of and Barriers to School Garden Success.

OBJECTIVE: To explore the degree and predictors of and barriers to school garden integration (termed success). DESIGN: A 30-item online survey consisting of demographic, garden characteristic, and barrier questions, as well as the School Garden Integration Scale, was conducted in 266 school garden organizations (13 national, 8 regional, and 245 state or local). PARTICIPANTS: A total of 414 school gardeners from 38 states and Puerto Rico. MAIN OUTCOME MEASURES: School garden success using the GREEN Tool. ANALYSIS: Descriptive statistics were used to determine the degree of success of school garden programs and explore barriers. Multiple regression analysis was conducted to determine independent predictors of school garden success. RESULTS: The average score was 37 (range 1-53, of a possible 57 points), indicating moderate success. Operating budget (P < .001), operating time (P < .05), and planting in-ground (P < .01) had a positive significant influence on success score, whereas rural location (P < .01) and lacking community interest (P < .01) had a negative significant influence, controlling for race/ethnicity, region, total garden investment, and Community Need Index score (a proxy for socioeconomic status). CONCLUSIONS AND IMPLICATIONS: Results indicate that success of school garden programs may be more difficult for the schools located in a rural area or in the absence of school or community-at-large interest. This study found that race/ethnicity of students and socioeconomic status are not related to success score, which is promising as other research indicates that successful school gardens may be especially impactful for low-income people of color. Causal research is needed to identify strategies that increase school garden success, with a focus on engaging key stakeholders (administrators, teachers, parents, the community at large, and garden coordinators).

Is living near green areas beneficial to mental health? results of the pró-saúde study / Morar perto de áreas verdes é benéfico para a saúde mental? resultados do estudo pró-saúde

ABSTRACT OBJECTIVE To investigate the association between exposure to green areas in the surroundings of the residence and the presence of common mental disorders among adults, according to different income strata. METHODS Cross-sectional study with 2,584 participants from the Pró-Saúde Study (2006), residing in the city of Rio de Janeiro. Common Mental Disorders were measured using the General Health Questionnaire (GHQ-12) and exposure to green areas was measured using the normalized difference vegetation index, in buffers with radiuses between 100 and 1,500 meters around the residence. We used the mean and maximum normalized difference vegetation index categorized into quartiles. The study population was divided into three subgroups, according to the income: low, intermediate, and high. Odds ratios and their 95% confidence intervals were estimated with logistic regression models. The models were adjusted by sex and age, with and without inclusion of physical activity practice. RESULTS The proportion of common mental disorders was 30% and 39% among men and women, respectively. The results of the adjusted models showed an inverse association between the presence of green areas in the surroundings of the residence and the occurrence of common mental disorders, in the buffer of 200 meters in the intermediate-income group and in the buffers of 400 and 1,500 meters in the low-income group. The odds ratio ranged from 0.52 (buffer of 1,500 meters) to 0.68 (buffer of 200 meters). The association found was independent of physical activity practice. CONCLUSIONS The evidence found suggests the existence of a beneficial effect of urban green areas on the mental health of lower-income individuals. These findings can help in understanding how the urban environment can affect the mental health of the population.

RESUMO OBJETIVO Investigar a associação entre a exposição às áreas verdes no entorno da residência e a presença de transtornos mentais comuns entre adultos, segundo diferentes estratos de renda. MÉTODOS Estudo seccional com 2.584 participantes do Estudo Pró-Saúde (2006), residentes na cidade do Rio de Janeiro. Os transtornos mentais comuns foram aferidos por meio do General Health Questionnaire (GHQ-12) e a exposição às áreas verdes pelo índice de vegetação por diferença normalizada, em buffers com raios entre 100 e 1.500 metros em torno da residência. Foram utilizados o índice de vegetação por diferença normalizada médio e máximo categorizado em quartis. A população do estudo foi dividida em três subgrupos, de acordo com a renda: baixa, intermediária e alta. Foram estimadas razões de chances e seus intervalos de 95% de confiança com modelos de regressão logística. Os modelos foram ajustados por sexo e idade, com e sem inclusão da prática de atividade física. RESULTADOS A proporção de transtornos mentais comuns foi de 30% e 39% entre homens e mulheres, respectivamente. Os resultados dos modelos ajustados mostraram associação inversa entre a presença de áreas verdes no entorno do domicílio e a ocorrência de transtornos mentais comuns, no buffer de 200 metros no grupo de renda intermediária e nos buffers de 400 e 1.500 metros no grupo de baixa renda. A razão de chances variou de 0,52 (buffer de 1.500 metros) a 0,68 (buffer de 200 metros). A associação encontrada foi independente da prática de atividade física. CONCLUSÕES As evidências encontradas sugerem a existência de um efeito benéfico de áreas verdes urbanas na saúde mental dos indivíduos de renda mais baixa. Tais achados podem ajudar na compreensão de como o meio ambiente urbano pode afetar a saúde mental da população.

Vegetation cover in relation to socioeconomic factors in a tropical city assessed from sub-meter resolution imagery.

Fine-scale information about urban vegetation and social-ecological relationships is crucial to inform both urban planning and ecological research, and high spatial resolution imagery is a valuable tool for assessing urban areas. However, urban ecology and remote sensing have largely focused on cities in temperate zones. Our goal was to characterize urban vegetation cover with sub-meter (<1 m) resolution aerial imagery, and identify social-ecological relationships of urban vegetation patterns in a tropical city, the San Juan Metropolitan Area, Puerto Rico. Our specific objectives were to (1) map vegetation cover using sub-meter spatial resolution (0.3-m) imagery, (2) quantify the amount of residential and non-residential vegetation, and (3) investigate the relationship between patterns of urban vegetation vs. socioeconomic and environmental factors. We found that 61% of the San Juan Metropolitan Area was green and that our combination of high spatial resolution imagery and object-based classification was highly successful for extracting vegetation cover in a moist tropical city (97% accuracy). In addition, simple spatial pattern analysis allowed us to separate residential from non-residential vegetation with 76% accuracy, and patterns of residential and non-residential vegetation varied greatly across the city. Both socioeconomic (e.g., population density, building age, detached homes) and environmental variables (e.g., topography) were important in explaining variations in vegetation cover in our spatial regression models. However, important socioeconomic drivers found in cities in temperate zones, such as income and home value, were not important in San Juan. Climatic and cultural differences between tropical and temperate cities may result in different social-ecological relationships. Our study provides novel information for local land use planners, highlights the value of high spatial resolution remote sensing data to advance ecological research and urban planning in tropical cities, and emphasizes the need for more studies in tropical cities.