Self-rated health in urban adults, perceptions of the physical and social environment, and reported comorbidities: The BH Health Study

Meireles, Adriana Lúcia; Xavier, César Coelho; Andrade, Amanda Cristina de Souza; Friche, Amélia Augusta de Lima; Proietti, Fernando Augusto; Caiaffa, Waleska Teixeira

doi:10.1590/0102-311x00076114

Cited by 32 publications

(48 citation statements)

References 30 publications

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“…These expectations can pose problems in developing countries like Brazil, where low-income individuals have a lower tendency to rate their health as poor due to their lower health expectations 12,14 . However, the predictors of individual self-rated health investigated in this study displayed the expected intensity and direction, consistent with evidence already established by other studies 19,28,35,57 .…”

Section: Discussionsupporting

confidence: 91%

“…Health-related habits and chronic disease also showed strong association with poor self-rated health. These variables have all been widely described as determinants of self-rated health 12,14,28,35,48 .…”

Section: Discussionmentioning

confidence: 99%

“…In this respect, the possibility should be considered that the analyses performed here may have excessively attenuated the association between neighborhood contextual factors and self-rated health, precisely due to the inclusion of individual health-related habits and chronic disease characteristics, for which no dimension of cor-Cad. Saúde Pública 2018; 34(5):e00029517 related measurement at the neighborhood level was considered in this study and which probably represent instances of proximal determination, since they are themselves partly determined by social, contextual factors 35,52 .…”

Section: Discussionmentioning

confidence: 99%

“…In England and Scotland, physical, social and political aspects of the environment (such as high levels of unemployment, low access to private transport, poor quality of the physical environment and low levels of political engagement) were all associated with worse self-rated health 38 . In Belo Horizonte, Minas Gerais State, poor self-rated health of adults with and without comorbidity were related with perceived problems in the environment 35 .…”

Section: Analyzing Data From Risk and Protective Factors Surveillanmentioning

confidence: 98%

“…Even when different socioeconomic indicators are applied, areas that are more deprived, less affluent or with greater income inequalities return higher percentages of individuals with poor self-rated health 29,30,31,32 . Physical, environmental characteristics (signs of physical disorder such as graffiti, poor public lighting, waste accumulated in the streets) 33,34,35 and psycho-social features (social capital) 36,37 , collective efficacy 38 or social cohesion 34 also display an association with self-rated health, although of a lesser magnitude than socioeconomic indicators 39,40 . In England and Scotland, physical, social and political aspects of the environment (such as high levels of unemployment, low access to private transport, poor quality of the physical environment and low levels of political engagement) were all associated with worse self-rated health 38 .…”

Section: Analyzing Data From Risk and Protective Factors Surveillanmentioning

confidence: 99%

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Focusing neighborhood context and self-rated health in the Pró-Saúde Study

et al. 2018

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The influence of neighborhood characteristics on self-rated health has been little studied. A multilevel approach using hierarchical models was applied to analyze the relationship between the socioeconomic characteristics in 621 neighborhoods (level 2) in the city of Rio de Janeiro, Brazil, and the self-rated health of 3,054 university employees (level 1) from the baseline of the Pró-Saúde Study. Neighborhoods were created using the SKATER algorithm (Spatial ‘K’luster Analysis by Tree Edge Removal) to cluster census tracts according to four indicators and a minimum population of 5,000 people. After adjustment for individual factors (per capita income, schooling, age, sex, ethnicity, health-related behavior and chronic diseases), low level of neighborhood income and higher numbers of members per household were significantly associated with poor self-rated health. Participants living in medium income-level neighborhoods were 34% more likely to self-rate their health as being poor. Those living in areas with a higher density of members per household were 50% more likely to present poor self-rated health. Neighborhood context influences self-rated health, beyond the effect of individual factors. Worsening neighborhood socioeconomic conditions affect health adversely, which in turn increasing the chance of poor self-rated health.

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Section: Discussionsupporting

confidence: 91%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Analyzing Data From Risk and Protective Factors Surveillanmentioning

confidence: 98%

Section: Analyzing Data From Risk and Protective Factors Surveillanmentioning

confidence: 99%

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Focusing neighborhood context and self-rated health in the Pró-Saúde Study

et al. 2018

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Life Satisfaction and Self-rated Health in Adolescents: The Relationships between them and the Role of Gender and Age

2020

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The purpose of this study was to analyze the relationships between self-reported life satisfaction, self-rated health, gender, and age in adolescents. 1,141 secondary school students aged between 12 and 17 participated in our study. The data were analyzed using bivariate and nonlinear canonical correlation analyses. The results of the bivariate correlation analysis support the results of previous studies. Life satisfaction was positively correlated with same-day perceived health (r = .37; p < .01) and negatively correlated with anxiety/depression (r = –.37; p < .01). Same-day perceived health was positively correlated with health in the past 12 months (r = .38; p < .01) and negatively correlated with pain/discomfort (r = –.32; p < .01) and with anxiety/depression (r = –.32; p < .01). The nonlinear canonical correlation analysis provided further evidence of the relationship between the variables, suggesting the complementarity of the indicators of self-rated health analyzed. Multiple fit values showed that demographic variables age (.61) and gender (.56) were the variables with the best discriminatory power. Graphically, two groups of related variables were displayed. A non-linear analysis better explains the relationships between the variables analyzed, showing that age and gender have a high level of discriminatory power for life satisfaction and self-rated health, suggesting a role as a moderator in the relationship between health and well-being variables.

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Self-reported Morbidity as a Sensitive Indicator of Variation in Anthropometry and Body Composition among Urban Slum Dwelling Adult Males in West Bengal, India

Mistri¹,

Chakraborty

2017

Journal of Life Sciences

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Self-rated health in urban adults, perceptions of the physical and social environment, and reported comorbidities: The BH Health Study

Cited by 32 publications

References 30 publications

Focusing neighborhood context and self-rated health in the Pró-Saúde Study

Focusing neighborhood context and self-rated health in the Pró-Saúde Study

Life Satisfaction and Self-rated Health in Adolescents: The Relationships between them and the Role of Gender and Age

Self-reported Morbidity as a Sensitive Indicator of Variation in Anthropometry and Body Composition among Urban Slum Dwelling Adult Males in West Bengal, India

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