The influence of persistent pathogens on circulating levels of inflammatory markers: A cross-sectional analysis from the Multi-Ethnic Study of Atherosclerosis

Background: Systemic inflammation is linked to cardiovascular risk, but the influence of persistent pathogens, which are conventionally dichotomously categorized, on circulating levels of inflammatory markers is not clear. Antibody levels of pathogens have not been examined in relation to inflammation. Methods. Using data from a subsample of the Multi-Ethnic Study of Atherosclerosis, we examined circulating levels of interleukin-6 (IL-6), C-reactive protein (CRP) and fibrinogen in relation to five common persistent pathogens: cytomegalovirus, herpes simplex virus-1, Hepatitis A virus, Helicobacter pylori and Chlamydia pneumoniae. We tested the hypothesis that the number of seropositive pathogens (based on conventional cut-off points) would not be as sensitive a marker of inflammation as immune response measured by antibody levels to pathogens. Results. High antibody response to multiple pathogens showed graded and significant associations with IL-6 (p < 0.001), CRP (p = 0.04) and fibrinogen (p = 0.001), whereas seropositive pathogen burden did not. In multiple linear regression models, high antibody response to multiple pathogens maintained a positive association only with IL-6 (4.4% per pathogen exhibiting high antibody response, 95% CI 0.0-8.9). Conclusions. High antibody response to pathogens was a more consistent marker of inflammatory outcomes compared to seropositivity alone and high antibody response to multiple pathogens was a stronger marker compared to any single pathogen

Associations of Neighborhood Crime and Safety and with Changes in Body Mass Index and Waist Circumference

Using data from the Multi-Ethnic Study of Atherosclerosis (MESA), we evaluated associations of neighborhood crime and safety with changes in adiposity (body mass index (BMI) and waist circumference). MESA is a longitudinal study of cardiovascular disease among adults aged 45-84 years at baseline in 2000-2002, from 6 US sites, with follow-up for MESA participants until 2012. Data for this study were limited to Chicago, Illinois, participants in the MESA Neighborhood Ancillary Study, for whom police-recorded crime data were available, and who had complete baseline data (n = 673). We estimated associations of individual-level safety, aggregated neighborhood-level safety, and police-recorded crime with baseline levels and trajectories of BMI and waist circumference over time using linear mixed modeling with random effects. We also estimated how changes in these factors related to changes in BMI and waist circumference using econometric fixed-effects models. At baseline, greater individual-level safety was associated with more adiposity. Increasing individual- and neighborhood-level safety over time were associated with decreasing BMI over the 10-year period, with a more pronounced effect observed in women for individual-level safety and men for neighborhood-level safety. Police-recorded crime was not associated with adiposity. Neighborhood-level safety likely influences adiposity change and subsequent cardiovascular risk in multiethnic populations

Urban–Rural Differences in Older Adult Depression: A Systematic Review and Meta-analysis of Comparative Studies

Context: Depression among older adults (aged 60 years or older) is a problem that could be exacerbated by global trends in urbanization and population aging. The study purpose was to assess whether urban, relative to rural, residence is associated with depression among older adults and whether associations differ in countries with developed versus developing economies. Evidence acquisition: In 2017, the authors identified and extracted information from comparative studies of urban–rural depression prevalence among older adults. Studies were identified in PubMed, PsychINFO, and Web of Science and limited to English language articles published after 1985. Eighteen studies met inclusion criteria. Random effects meta-analysis was conducted to produce weighted pooled ORs estimating the association between urban–rural residence and depression for all study participants (N=31,598) and sub-analyses were conducted for developed (n=12,728) and developing (n=18,870) countries. Evidence synthesis: Depression prevalence was significantly higher among urban residents in ten studies and significantly higher among rural residents in three studies (all three conducted in China). Associations between urban–rural residence and depression generally remained significant after adjusting for covariates. In developed countries, the odds of depression were significantly higher among urban than rural residents (pooled OR=1.44, 95% CI=1.10, 1.88). However, in developing countries, this association was not observed (pooled OR=0.91, 95% CI=0.46, 1.77). Conclusions: Converging trends of urbanization and population aging could increase the global burden of depression among older adults. The pathways through which urban–rural residence influences depression risk among older adults might differ by country context. Future research should focus on measuring variation in these contexts

Depression and alcohol misuse among older adults: exploring mechanisms and policy impacts using agent-based modelling

Purpose: To: (1) explore how multi-level factors impact the longitudinal prevalence of depression and alcohol misuse among urban older adults (≥ 65 years), and (2) simulate the impact of alcohol taxation policies and targeted interventions that increase social connectedness among excessive drinkers, socially isolated and depressed older adults; both alone and in combination. Methods: An agent-based model was developed to explore the temporal co-evolution of depression and alcohol misuse prevalence among older adults nested in a spatial network. The model was based on Los Angeles and calibrated longitudinally using data from the Multi-Ethnic Study of Atherosclerosis. Results: Interventions with a social component targeting depressed and socially isolated older adults appeared more effective in curbing depression prevalence than those focused on excessive drinkers. Targeting had similar impacts on alcohol misuse, though the effects were marginal compared to those on depression. Alcohol taxation alone had little impact on either depression or alcohol misuse trajectories. Conclusions: Interventions that improve social connectedness may reduce the prevalence of depression among older adults. Targeting considerations could play an important role in determining the success of such efforts

Examining the possible impact of daily transport on depression among older adults using an agent-based model

_Objectives:_ Daily transport may impact depression risk among older adults through several pathways including facilitating the ability to meet basic needs, enabling and promoting contact with other people and nature, and promoting physical activity (e.g. through active transportation such as walking or walking to public transit). Both daily transport and depression are influenced by the neighborhood environment. To provide insights into how transport interventions may affect depression in older adults, we developed a pilot agent-based model to explore the contribution of daily transport and neighborhood environment to older adults’ depression in urban areas. _Method:_ The model includes about 18,500 older adults (i.e. agents) between the ages of 65 and 85 years old, living in a hypothetical city. The city has a grid space with a number of neighborhoods and locations. Key dynamic processes in the model include aging, daily transport use and feedbacks, and the development of depression. Key parameters were derived from US data sources. The model was validated using empirical studies. _Results:_ An intervention that combines a decrease in bus fares, shorter bus waiting times, and more bus lines and stations is most effective at reducing depression. Lower income groups are likely to be more sensitive to the public transit-oriented intervention. _Conclusion:_ Preliminary results suggest that promoting public transit use may be a promising strategy to increase daily transport and decrease depression. Our results may have implications for transportation policies and interventions to prevent depression in older adults

How do types of employment relate to health indicators? Findings from the Second European Survey on Working Conditions

http://deepblue.lib.umich.edu/bitstream/2027.42/56182/1/Benavides FG, How do types of employment relate to health indicators - Findings from the Second European Survey on Working Conditions, 2000.pd

Understanding and representing 'place' in health research: A relational approach.

Epidemiology, sociology, and geography have been successful in re-establishing interest in the role of place in shaping health and health inequalities. However, some of the relevant empirical research has relied on rather conventional conceptions of space and place and focused on isolating the "independent" contribution of place-level and individual-level factors. This approach may have resulted in an underestimate of the contribution of 'place' to disease risk. In this paper we argue the case for extensive (quantitative) as well as intensive (qualitative) empirical, as well as theoretical, research on health variation that incorporates 'relational', views of space and place. Specifically, we argue that research in place and health should avoid the false dualism of context and composition by recognising that there is a mutually reinforcing and reciprocal relationship between people and place. We explore in the discussion how these theoretical perspectives are beginning to influence empirical research. We argue that these approaches to understanding how place relates to health are important in order to deliver effective, 'contextually sensitive' policy interventions

Unidade de contexto e observação social sistemática em saúde: conceitos e métodos Context unit and systematic social observation: a review of concepts and methods

Assumimos que "onde você mora é importante para sua saúde, para além de quem você é". Entendemos que o impacto do local de moradia ou unidade de contexto (UC) na saúde das populações se deve à heterogeneidade dos atributos do entorno físico e social da UC, para além das características individuais ou agregadas daqueles ali aninhados. Estes atributos, embora dependentes dos indivíduos, são tipicamente externos a eles e potencialmente modificáveis. As UC são compreendidas como unidades ecológicas inseridas em conjuntos sucessivamente mais amplos e interdependentes. Quando relevante para a hipótese do estudo, unidades geográficas administrativas podem ser utilizadas como aproximações da UC. Outra alternativa é a que utiliza a percepção de seus moradores, a "vizinhança percebida". O ressurgimento do interesse com relação à determinação dos efeitos da UC sobre a saúde correlaciona com novas tendências na área da saúde coletiva: incorporação de novos níveis hierárquicos de exposição, as iniqüidades e seus determinantes, a urbanização e seus efeitos e a avaliação de intervenções multi-setoriais. Nosso objetivo central é rever opções para a escolha da UC a ser investigada além de estratégias para a aferição de seus atributos físicos e sociais, utilizando a observação social sistemática (OSS). A combinação de dados originárias de dados administrativos, da vizinhança percebida, dos inquéritos populacionais e da OSS ainda necessita de maiores elaborações conceitual, metodológica e analítica. Entretanto, a compreensão da distribuição dos atributos físicos e sociais da UC permite compor níveis hierárquicos de complexidade relevantes para o entendimento da ocorrência dos eventos relacionados à saúde nas populações.<br>We understand that "where one lives makes a difference to health in addition to who you are", and that the effects of the place of residence or context unit (CU) on public health are due to the heterogeneity of the physical and social environment characteristics, in addition to the individual and aggregate attributes of the population nested in the CU. Those attributes, although intrinsically dependent on the individuals, are typically external to them and susceptible to intervention. Also, the UC's are understood as ecological units nested within successively larger communities. Depending on the study hypothesis, census-defined areas may be used as proxy for the CU. Alternatively, the CU may be defined by the individual's perception of his/her neighborhood. The renewed interest on the health effects of the CU are associated with new trends in public health, namely: new hierarchical levels of exposure beyond individual level characteristics, inequalities and social determinants of health, urbanization and the need to evaluate interventions not traditionally associated to public health. Our objective was, first, to review options while choosing the relevant CU and second, to review strategies to determine and quantify the characteristics of the CU using social systematic observation (SSO). The combination of census-defined data, information on the neighborhood defined by the local population, surveys and SSO still needs conceptual, methodological and analytical development. However, the distribution of the physical and social attributes of the CU will permit to incorporate other hierarchical level of complexity to better understand the incidence and prevalence of health related events in populations