Publications by authors named "Maria De Fatima de Pina"

Background: Road-traffic injuries are a key cause of death and disability in low-income and middle-income countries, but the effect of city characteristics on road-traffic mortality is unknown in these countries. The aim of this study was to determine associations between city-level built environment factors and road-traffic mortality in large Latin American cities.

Methods: We selected cities from Argentina, Brazil, Chile, Colombia, Costa Rica, El Salvador, Guatemala, Mexico, Panama, and Peru; cities included in the analysis had a population of at least 100 000 people.

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This cross-sectional study utilizes data from a nationwide web-based survey aimed to identify the factors affecting the emotional well-being of Brazilian adolescents aged 12-17 during the period of school closures and confinement. Data collection took place from 27 June to 17 September 2020. We used the "virtual snowball" sampling method, and students from private and public schools were included.

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The ConVid - Behavior Survey was conducted in Brazil from April 24 to May 24, 2020, aiming to investigate changes in lifestyles and health conditions during the COVID-19 pandemic. In this article, we present the conception and methodology of the research. We used a cross-sectional study using an Internet questionnaire, with questions validated in previous health surveys.

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This is a cross-sectional study investigating the factors affecting brazilians' self-rated health during the COVID-19 pandemic, based on data from the web-based behavior survey. Carried out from April 24 to May 24, 2020, the survey recruited participants by a chain sampling procedure. Its outcome was the worsening of self-rated health during the pandemic.

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The goal of this study is to characterize the population of older adults in Brazil during the COVID-19 pandemic with regard to health, socioeconomic conditions, gender inequality, adherence to social distancing and feelings of sadness or depression. It is a cross-sectional study carried out with Brazilian older adults who responded to an online health survey (N = 9,173), using a "virtual snowball" sampling method. Data were collected online via a self-administered questionnaire.

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Objective: To describe changes in socioeconomic and health conditions of Brazilians during the COVID-19 pandemic.

Methodology: Cross-sectional study with data from a web-based behavioral survey carried out from April 24 to May 24, 2020, with 45,161 participants recruited by the chain sampling method. A descriptive analysis of the survey topics was performed: adherence to social restriction measures, diagnosis of the new coronavirus, work situation and income, difficulties in routine activities, presence of comorbidities, psychological issues, and access to health services.

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To overcome the challenge of obtaining accurate data on community food retail, we developed an innovative tool to automatically capture food retail data from Google Earth (GE). The proposed method is relevant to non-commercial use or scholarly purposes. We aimed to test the validity of web sources data for the assessment of community food retail environment by comparison to ground-truth observations (gold standard).

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Objective: To analyze the adherence of the population to physical contact restriction measures and the spread of COVID-19 in Brazil.

Methods: This was a web-based health survey carried out from April 24 to May 24 2020 using a chain sampling procedure. Intensity of adherence to physical contact restriction measures was analyzed according to sociodemographic characteristics, using logistic regression models to investigate associations with 'No/little adherence'.

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Objective: To analyze the frequency of sadness, nervousness, and sleep disorders during the COVID-19 pandemic in Brazil, identifying the most affected demographic segments.

Methods: This was a cross-sectional study using an online questionnaire answered by adults and elderly people to collect information on living conditions, health and health-related behaviors. Prevalence rates and prevalence ratios adjusted for age and sex were estimated.

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Objectives: Analyze the association between socioeconomic deprivation and old-age survival in Europe, and investigate whether it varies by country and gender.

Methods: Our study incorporated five countries (Portugal, Spain, France, Italy, and England). A 10-year survival rate expressing the proportion of population aged 75-84 years who reached 85-94 years old was calculated at area-level for 2001-11.

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Spatial inequalities in old-age survival exist in Portugal and might be associated with factors pertaining to three distinct domains: socioeconomic, physical environmental and healthcare. We evaluated the contribution of these factors on the old-age survival across Portuguese municipalities deriving a surrogate measure of life expectancy, a 10-year survival rate that expresses the proportion of the population aged 75-84 years old who reached 85-94. As covariates we used two internationally comparable multivariate indexes: the European deprivation index and the multiple physical environmental deprivation index.

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Old-age survival is a good indicator of population health and regional development. We evaluated the spatial distribution of old-age survival across Porto neighbourhoods and its relation with physical (biogeophysical and built) and socioeconomic factors (deprivation). Smoothed survival rates and odds ratio (OR) were estimated using Bayesian spatial models.

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Background: Further increases in life expectancy in high-income countries depend to a large extent on advances in old-age survival. We aimed to characterise the spatial distribution of old-age survival across small areas of Europe, and to identify areas with significantly high or low survivorship.

Methods: This study incorporated 4404 small areas from 18 European countries.

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Background: Spatial inequalities in health have been identified, but the contribution of physical environment has been largely ignored. In Portugal, strong spatial differences in morbidity and mortality remain unexplained. Based on previous United Kingdom (UK) and New Zealand (NZ) research, we aimed to develop a Portuguese measure of multiple environmental deprivation (PT-MEDIx) to assist in understanding spatial inequalities in health.

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Objective: In this cross-sectional study, we examined the relationship between socio-environmental characteristics of neighborhood of residence and the frequency of leisure-time physical activity (LTPA) among older adults from Porto (Portugal).

Method: Data from EpiPorto - a prospective adult cohort study from Porto (Portugal) - were used. Only adults aged ≥ 65 at baseline (1999-2003) were included (n=580).

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The built environment can influence sports practice. The objective of this study was to examine the association between proximity (< 500m) to sports facilities and participation in sports. We evaluated 1,175 13-year-olds (54% girls) enrolled in public and private schools in Porto, Portugal.

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Background: The cardiac regenerative potential of newly developed therapies is traditionally evaluated in rodent models of surgically induced myocardial ischemia. A generally accepted key parameter for determining the success of the applied therapy is the infarct size. Although regarded as a gold standard method for infarct size estimation in heart ischemia, histological planimetry is time-consuming and highly variable amongst studies.

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Purpose: Total knee arthroplasty (TKA) is currently the international standard of care for treating degenerative and rheumatologic knee joint disease, as well as certain knee joint fractures. We sought to answer the following three research questions: (1) What is the international variance in primary and revision TKA rates around the world? (2) How do patient demographics (e.g.

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