Sampling plan in health surveys, city of São Paulo, Brazil, 2015

Alves, Maria Cecília Goi Porto; Escuder, Maria Mercedes Loureiro; Goldbaum, Moisés; Barros, Marilisa Berti de Azevedo; Fisberg, Regina Mara

doi:10.11606/s1518-8787.2018052000471

Cited by 49 publications

(56 citation statements)

References 15 publications

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“…The 2015 ISA-Capital is a household population-based survey done on a representative probabilistic population sample of individuals aged 12 years and more, living in the city of São Paulo. This survey is conducted on an average of every five years (i.e., 2003, 2008, and 2015), and is aimed at evaluating health status, lifestyle, and health services usage 17 . A sub-sample of the 2015 ISA-Capital has been designed with a focus on nutrition (2015 ISA-Nutrition) and is aimed at evaluating the association of lifestyle-related risk factors with biochemical and genetic markers, and the environmental factors related to non-communicable diseases 18 .…”

Section: Study Samplementioning

confidence: 99%

Is the local food environment associated with excess body weight in adolescents in São Paulo, Brazil?

et al. 2020

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The obesogenic environment stimulates an inadequate diet by hampering healthy choices. This cross-sectional study evaluated the association between the local food environment and the prevalence of overweight and obesity in a representative sample population of adolescents living in the city of São Paulo, Brazil, using multilevel logistic regression models. Among the adolescents, 29.6% were overweight/obese. There were no significant differences between food environment and adolescents’ weight status. However, the presence of fast food restaurants near their home increased the chances of being overweight or obese (OR = 2.53; 95%CI: 1.02-6.27). Results suggest the need to intensify food and nutrition policies, development of culinary skills, and the reduction in prices of healthy foods to facilitate access to these foods, so that adolescents have options in locations to socialize with friends and family.

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Section: Study Samplementioning

confidence: 99%

Is the local food environment associated with excess body weight in adolescents in São Paulo, Brazil?

et al. 2020

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“…Data collection was completed in 2015, with 4,043 adult participants who lived in five health administrative areas in Sao Paulo city. The sampling process has been described in more detail elsewhere [23]. Georeferencing resulted in 3,145 participants having their residential address geocoded: [18].…”

Section: Sao Paulo Health Survey (Isa)mentioning

confidence: 99%

“…We used age (18-29 years, 30-39 years, 40-49 years, 50-59 years, 60 years or more), education (in four categories for logistic models: incomplete elementary school, incomplete high school, complete high school, incomplete undergraduate or above), marital status (singles, married/with partners, separated/widowers), obesity (in two categories: BMI <30 kg/m 2 : no or yes ≥ 30 kg/m 2 ), physical activity (evaluated by IPAQ and we used the cut-off point of 150 minutes per week: yes or no according to work, household, leisure, and transportation activities), diseases (self-report of diseases diagnosed by physicians -arterial hypertension; diabetes; myocardial infarction; cardiac arrhythmia; other heart disease; cancer; arthritis, rheumatism or arthrosis; osteoporosis; asthma or asthmatic bronchitis; emphysema, chronic bronchitis or chronical obstructive pulmonary diseases; rhinitis; chronic sinusitis; other lung disease; tendonitis, repetitive strain injury or work-related musculoskeletal disorders; cerebral vascular accident or stroke; spine disease or spine problem: presence or not of diseases), smoking (yes or no), car or motorcycle ownership (yes or no); time living in the same residence (in three levels : <1 year, ≥1 year and <5 years, >5 years), and place where people living in Sao Paulo city (North, South, Midwest, Southeast, and East). These variables were selected based on the findings of systematic reviews [9,12,13], and also because they were found to be important variables in other studies that examined the relationship between the built environment and physical activity in the same sample [22][23][24].…”

Section: Covariatesmentioning

confidence: 99%

Mix Of Destinations And Sedentary Behavior Among Brazilian Adults

Florindo

Turrel

Garcia

et al. 2020

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Background: Sedentary behavior is influenced by contextual, social and individual factors, including the built environment. However, the associations between the built environment and sitting time have not been extensively investigated in countries with economies in transition such as Brazil. The objective of this study is to examine the relationship between sitting-time and access to a mix of destinations for adults from Sao Paulo city, Brazil.Methods: This study uses data from the Sao Paulo Health Survey (n=3,145). Sedentary behavior was assessed by questionnaire using two questions: total sitting time in minutes on a usual weekday; and on a usual weekend day. Mix of destinations was measured by summing the number of facilities (comprising bus stops, train/subway stations, parks, squares, public recreation centres, bike paths, primary health care units, supermarkets, food stores, bakeries, and coffee-shops) within 500m of each participant's residence. Linear and categorical (<4, ≥4 hours/day) measures of sitting time were derived and analyzed using linear and logistic multilevel regression. Models accounted for clustering within census-tracts and households, were stratified by gender, and adjusted for environmental, sociodemographic, and health-related factors.Results: Average minutes of sitting, and the likelihood of sitting for more than four hours, were significantly higher among males, younger people, the more educated, single persons, smokers, those who engaged in low levels of physical activity, the obese and those with chronic disease, and those who owned a private motor vehicle. Among females, mix of destinations was inversely related with minutes of sitting time on a weekday (β= -11 minutes; p=0.001) and weekend day (β= -8 minutes;p=0.012). Females who had a higher mix of destinations within their residential catchment had a significantly lower likelihood of sitting for four hours or more on weekdays (OR=0.66 IC95%0.47-0.94). No significant associations were found for males.Conclusion: This is the first-known study to examine the relationship between mix of destinations and sedentary behavior among adults in Sao Paulo City, Brazil. Our results suggest that health promotion and policy should focus on reducing sedentary behavior in the whole population, and especially those groups who engage in higher-levels of sitting time. 4

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“…The nal face-to-face interviews were conducted with 4,043 study individuals (12 years or older). More details can be obtained in Alves et al [33].…”

mentioning

confidence: 99%

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

Barbosa¹,

Aguiar²,

Failla³

et al. 2020

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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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Sampling plan in health surveys, city of São Paulo, Brazil, 2015

Cited by 49 publications

References 15 publications

Is the local food environment associated with excess body weight in adolescents in São Paulo, Brazil?

Is the local food environment associated with excess body weight in adolescents in São Paulo, Brazil?

Mix Of Destinations And Sedentary Behavior Among Brazilian Adults

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

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