Detailed information on health linked to geographic, sociodemographic, and environmental data are required by city governments to monitor health and the determinants of health. These data are critical for guiding local interventions, resource allocation, and planning decisions, yet they are too often non-existent or scattered. This study aimed to develop a conceptual framework of Urban Health Observatories (UHOs) as an institutional mechanism which can help synthesize evidence and incorporate it into urban policy-making for health and health equity. A survey of a select group of existent UHOs was conducted using an instrument based on an a priori conceptual framework of key structural and functional characteristics of UHOs. A purposive sample of seven UHOs was surveyed, including four governmental, two non-governmental, and one university-based observatory, each from a different country. Descriptive and framework analysis methods were used to analyze the data and to refine the conceptual framework in light of the empirical data. The UHOs were often a product of unique historical circumstances. They were relatively autonomous and capable of developing their own locally sensitive agenda. They often had strong networks for accessing data and were able to synthesize them at the urban level as well as disaggregate them into smaller units. Some UHOs were identified as not only assessing but also responding to local needs. The findings from this study were integrated into a conceptual framework which illustrates how UHOs can play a vital role in monitoring trends in health determinants, outcomes, and equity; optimizing an intersectoral urban information system; incorporating research on health into urban policies and systems; and providing technical guidance on research and evidence-based policy making. In order to be most effective, UHOs should be an integral part of the urban governance system, where multiple sectors of government, the civil society, and businesses can participate in taking the right actions to promote health equity.

ABSTRACT:Objective: This study aimed to determine if individual and socio-environmental characteristics can influence the self-rated health among Brazilian adolescents. Methods: It included 1,042 adolescents from 11 to 17 years old who participated in the Beagá Health Study (Estudo Saúde em Beagá), a multistage household survey in an urban setting. Logistic regression analyses were performed to determine the association between the self-rated health and the following explanatory variables: sociodemographic factors, social support, lifestyle, physical and psychological health. Results: Good/very good and reasonable/poor/very poor self-rated health were reported by 88.5 and 11.5% of adolescents, respectively. The data on sociodemographic factors (SES), social support, lifestyle, psychological and physical health were associated with poor self-rated health (p ≤ 0.05). The associated variables were: age 14 -17 years (OR =1.71; 95%CI 1.06 -2.74), low SES (OR =1.68; 95%CI 1.05 -2.69), few (OR = 2.53; 95%CI 1.44 -4.46) and many quarrels in family (OR = 9.13; 95%CI 4.53 -18.39), report of unkind and unhelpful peers (OR = 2.21; 95%CI 1.11 -4.43), consumption of fruits < 5 times a week (OR = 1.78; 95CI% 1.07 -2.95), physical inactivity (OR = 2.31; 95%CI 1.15 -4.69), overweight (OR = 2.42; 95%CI 1.54 -3.79) and low level of life satisfaction (OR = 2.31; 95%CI 1.34 -3.98). Conclusions: Poor self-rated health among adolescents was associated with individual and socio-environmental characteristics related to family, school and neighborhood issues. Quantifying the self-rated health according to the theoretical framework of the child's well-being should help in arguing that self-rated health might be a strong indicator of social inequities for the studied population.

No abstract

Health status is often analyzed in population surveys. Self-rated health (SRH) is a single-item summary measure of the perception of one’s health. In Brazil, studies on the SRH of adolescents remain scarce, especially those aiming to understand the domains that compose this construct. Therefore, the aim of this study is to determine the prevalence of poor SRH and its associated factors among 11- to 13-year-olds and 14- to 17-year-olds living in a large urban center in Brazil. This cross-sectional study was conducted using a household survey across Belo Horizonte that included 1,042 adolescents. Stratified logistic regression models were used for each age group to assess the associations between worse SRH and the following variables: socio-demographic, social and family support, lifestyles, psychological health, and anthropometry. Approximately 11% (95% CIs = 8.7–13.6) of the studied adolescents rated their health as poor, and SHR decreased with age among males and females. This trend was more pronounced among girls (from 6.9% among 11- to 13-year-old girls to 16.9% among 14- to 17-year-old girls) than boys (from 8.3% among 11- to 13-year-old boys to 11% among 14- to 17-year-old boys). Worse SRH was associated with family support (as assessed by the absence of parent-adolescent conversations; odds ratio [OR] = 3.5 among 11- to 13-year-olds), family structure (OR = 2.8 among 14- to 17-year-olds), and argument reporting (OR = 8.2 among 14- to 17-year-olds). Among older adolescents, the consumption of fruit fewer than five times per week (OR = 2.4), life dissatisfaction (OR = 2.8), underweight status (OR = 6.7), and overweight status (OR = 2.7) were associated with poor SRH. As adolescents age, their universe expands from their relationship with their parents to include more complex issues, such as their lifestyles and life satisfaction. Therefore, these results suggest the importance of evaluating SRH across adolescent age groups and demonstrate the influence of the family environment (in addition to other factors) on negative health assessments, particularly among 14- to 17-year-olds.