Impacts of the Recent Expansion of the Sugarcane Sector on Municipal per Capita Income in São Paulo State

The aim of this study is to evaluate the impacts of this expansion on the income of people in the state’s districts and towns. Beginning with a breakdown of the main determinants of per capita income, a spatial dynamic panel model is proposed. The proportion of adults in the municipal population, the labour force utilization rate, and the average labour income were used as control variables. Furthermore, to isolate the impacts of the expansion of the sugarcane sector on per capita gross domestic product (GDP), the share of farming in municipal areas, the share of agriculture within farming in general, the share of sugarcane farming within agriculture, and a dummy for districts and towns with an operational plant were included in the model. The series cover the 645 districts and towns of São Paulo State from 2000 to 2008. The results of the system generalized method of moments (system-GMM) showed a positive relationship of spatial and temporal dependence in the real per capita GDP. And the estimated direct and indirect effects indicate that the expansion of the sugarcane sector had a positive impact on per capita GDP, both in towns where the expansion took place and in their neighbouring towns.

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Urban forest and per capita income in the mega-city of Sao Paulo, Brazil: A spatial pattern analysis

Cities ◽

10.1016/j.cities.2020.103099 ◽

2021 ◽

Vol 111 ◽

pp. 103099

Author(s):

Bruna Lara Arantes ◽

Nicole Rennó Castro ◽

Leandro Gilio ◽

Jefferson Lordello Polizel ◽

Demóstenes Ferreira da Silva Filho

Keyword(s):

Spatial Pattern ◽

Capita Income ◽

Pattern Analysis ◽

Urban Forest ◽

Sao Paulo ◽

Spatial Pattern Analysis ◽

São Paulo ◽

Per Capita Income ◽

Per Capita

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Obesity and Places Where People Living in Sao Paulo City, Brazil

10.21203/rs.3.rs-17052/v1 ◽

2020 ◽

Author(s):

João Paulo dos Anjos Souza Barbosa Barbosa ◽

Breno Souza Aguiar ◽

Marcelo Antunes Failla ◽

Ligia Vizeu Barrozo ◽

Regina Mara Fisberg ◽

...

Keyword(s):

Body Mass Index ◽

Built Environment ◽

Body Mass ◽

Capita Income ◽

Sao Paulo ◽

High Income ◽

São Paulo ◽

Per Capita Income ◽

The North ◽

Per Capita

Abstract Background The built environment characteristics and urban form can influence health outcomes like obesity in people living in high-income countries. However, there are few studies in megacities from middle-high income countries like Brazil in which the built environment has been modified and obesity has been growing slightly. Therefore, the objectives of this study were: 1) to describe the body mass index (BMI) and obesity in different health administrative areas in Sao Paulo; 2) to investigate the association between BMI and obesity with the places where people lived according to social and demographics variables, health variables, built environment, and family per capita income. Methods This was a cross-sectional study that used the Sao Paulo Health Survey dataset (2015) with 3,145 individuals (18 years or older). The weight and height were self-reported and was calculated the BMI. Residential locations were geocoded, types and the mix of destinations were calculated in 500m buffers. We used multilevel models to examine the association between BMI and obesity with the places where the people lived. Results The Midwest region showed the highest mean of the mix of destinations than other areas and the lowest prevalence of overweight and obesity. The BMI was higher for people that lived in North, Southeast, South, and East than Midwest after adjusted. Individuals that lived in North (OR=1.69 CI95% 1.18-2.43) and Southeast (OR=1.66 CI 95%1.17-2.37) had increased the likelihood for obesity compared with Midwest after adjusted by social and demographic variables, physical activity level, mix of destinations, and family per capita income. Conclusion This study found that individuals that lived in the North, Southeast, South, and East had higher BMI than people who lived in Midwest, and people that lived in the North and Southeast had increased the likelihood of obesity compared with the Midwest area. The place where people living can influence BMI and obesity in megacities like Sao Paulo, Brazil. Key words: Body Mass Index, Obesity, Built Environment, Multilevel analysis.

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Frequency of nutritional disorders and their risk factors among children attending 13 nurseries in São Paulo, Brazil. A cross-sectional study

Sao Paulo Medical Journal ◽

10.1590/1516-3180.2014.8800711 ◽

2015 ◽

Vol 133 (4) ◽

pp. 326-335

Author(s):

Tulio Konstantyner ◽

José Augusto Aguiar Carrazedo Taddei ◽

Thais Cláudia Roma Oliveira Konstantyner ◽

Laura Cunha Rodrigues

Keyword(s):

Risk Factors ◽

Capita Income ◽

Cross Sectional Study ◽

Sao Paulo ◽

São Paulo ◽

Sectional Study ◽

Per Capita Income ◽

Cross Sectional ◽

Malnourished Children ◽

Per Capita

ABSTRACTCONTEXT AND OBJECTIVE: Nutritional disorders are associated with health problems earlier in life. The objective here was to estimate the frequency of nutritional disorders and their risk factors among children. DESIGN AND SETTING: Cross-sectional study in nurseries at 13 day-care centers in São Paulo, Brazil.METHODS: The mothers of 482 children were interviewed, with anthropometry on these children. Children whose anthropometric indices for weight and height were greater than two standard deviations were considered to have nutritional disorders.RESULTS: Children in families with lower per capita income (odds ratio [OR]: 2.25; 95% confidence interval, CI: 1.08-4.67) and who presented neonatal risk (OR 8.08; 95% CI: 2.29-28.74), had incomplete vaccinations (OR 3.44; 95% CI: 1.15-10.31) or were male (OR 3.73; 95% CI: 1.63-8.56) were more likely to be malnourished. Children in families with lower per capita income were also less likely to be overnourished (OR 0.40; 95% CI: 0.19-0.88). Children who were exclusively breastfed for less than two months (OR 2.95; 95% CI: 1.35-6.44) or who were male (OR 2.18; 95% CI: 1.02-4.65) were also at greater risk of being overnourished. Children who presented neonatal risk (OR 3.41; 95% CI: 1.04-11.23), had incomplete vaccinations (OR 3.18; 95% CI: 1.307.76), or were male (OR 2.76; 95% CI: 1.56-4.90) were more likely to have a nutritional disorder.CONCLUSIONS: Nutritional disorders remain present in children attending nurseries in São Paulo. Actions should focus on boys, children who were exclusively breastfed for less than two months and those without up-to-date vaccinations.

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Influence of population, income and electricity consumption on per capita municipal solid waste generation in São Paulo State, Brazil

Journal of Material Cycles and Waste Management ◽

10.1007/s10163-017-0687-0 ◽

2017 ◽

Vol 20 (2) ◽

pp. 1216-1227 ◽

Cited By ~ 1

Author(s):

Reinaldo Pisani ◽

Marcus César Avezum Alves de Castro ◽

Antonio Alvares da Costa

Keyword(s):

Municipal Solid Waste ◽

Solid Waste ◽

Electricity Consumption ◽

Sao Paulo ◽

São Paulo ◽

Waste Generation ◽

Paulo State ◽

Solid Waste Generation ◽

São Paulo State ◽

Per Capita

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Demographic, socioeconomic and lifestyle factors associated with sugar-sweetened beverage intake: a population-based study

Revista Brasileira de Epidemiologia ◽

10.1590/1980-549720200003 ◽

2020 ◽

Vol 23 ◽

Cited By ~ 2

Author(s):

Amanda Silva Fontes ◽

Ana Carolina Pallottini ◽

Diva Aliete dos Santos Vieira ◽

Mariane de Mello Fontanelli ◽

Dirce Maria Marchioni ◽

...

Keyword(s):

Older Adults ◽

Capita Income ◽

Population Based ◽

Lifestyle Factors ◽

Sao Paulo ◽

São Paulo ◽

Per Capita Income ◽

Population Based Study ◽

Factors Associated ◽

Per Capita

ABSTRACT: Introduction: The intake of sugar-sweetened beverages (SSB) varies according to the characteristics of the population. Objective: To investigate the SSB intake and demographic, socioeconomic and lifestyle factors associated with its consumption in adolescents, adults, and older adults in São Paulo. Methods: Data were drawn from the Health Survey of São Paulo, a cross-sectional population-based study including 1,662 individuals aged 12 years or more. SSB were classified into six groups: sugar-sweetened sodas, sweetened coffee and tea, sweetened milk and dairy products, sweetened fruit juice, sweetened fruit drink, and total SSB. The association of each group with demographic, socioeconomic and lifestyle variables was assessed using linear regression models. Results: The mean SSB intake was 668.4 mL in adolescents, 502.6 mL in adults, and 358.2 mL in elderly adults. Sodas and sweetened coffee and tea represented had the greatest contribution to energy intake. SSB consumption was lower among female sex and higher among overweight adolescents, among sufficiently active adults, and among lower household per capita income older adults. Consumption of SSB was high, particularly among adolescents. Public policies are required in order to decrease the consumption of these beverages. Conclusion: Age group, sex, household per capita income, and body mass index status were associated with SSB intake.

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Using RT-PCR Testing to Assess the Effectiveness of Outbreak Control Efforts in São Paulo State, the Pandemic’s Epicenter in Brazil, according to Socioeconomic Vulnerabilities

10.1101/2020.10.29.20221960 ◽

2020 ◽

Author(s):

Tatiane C M Sousa ◽

Natália P Moreira ◽

Jose E. Krieger ◽

Isabel S C Rosa ◽

Marcela M. Zamudio ◽

...

Keyword(s):

Public Health ◽

Population Density ◽

Sao Paulo ◽

P Value ◽

São Paulo ◽

Rt Pcr ◽

Socioeconomic Vulnerability ◽

Paulo State ◽

São Paulo State ◽

Per Capita

AbstractBackgroundThe testing of infected persons with SARS-CoV-2 is one of the cornerstones of an effective strategy deployed for pandemic control. The public health diagnostic effort is particularly important in regions with a critical transmission scenario and in vulnerable populations in these districts, such as São Paulo state, the Brazilian epicenter of the COVID-19 pandemic.MethodsWe developed an RT-PCR testing intensity effort index (RT-PCR TIEI) composed of seven indicators to assess the survelliance efforts in the São Paulo State. We used dynamic time-series cross-sectional models to analyze the association between the RT-PCR TIEI, the population living under high socioeconomic vulnerability levels, dependent on public health service (SUS), per capita income, and population density.ResultsOn average, the RT-PCR TIEI score was 21.07. In the long-run, the RT-PCR TIEI is negatively associated with socioeconomic vulnerability (p-value=0.000, 95% CI −0.887, - 0.811), with a higher proportion of the population dependent on SUS (p-value= 0.000, 95% CI −0.871, −0.805), per capita income (p-value= 0.000, 95% CI −0.849,-0.792) and with population density (p-value=0.000, 95% CI −0.853; −0.801).ConclusionTesting efforts declined as the pandemic advanced, and the the lowest RT-PCR TIEI values were found in the most socioeconomic vulnerable RHDs. Local public laboratory presence was a predictor of a higher score. Thus, the low testing RT-PCR efforts and local laboratory inequalities affected surveillance capability, especially for socioeconomic vulnerable populations.

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