The combined effects of activity space and neighbourhood of residence on participation in preventive health-care activities: The case of cervical screening in the Paris metropolitan area (France)

Contribution of Structure Learning Algorithms in Social Epidemiology: Application to Real-World Data

Epidemiologists often handle large datasets with numerous variables and are currently seeing a growing wealth of techniques for data analysis, such as machine learning. Critical aspects involve addressing causality, often based on observational data, and dealing with the complex relationships between variables to uncover the overall structure of variable interactions, causal or not. Structure learning (SL) methods aim to automatically or semi-automatically reveal the structure of variables' relationships. The objective of this study is to delineate some of the potential contributions and limitations of structure learning methods when applied to social epidemiology topics and the search for determinants of healthcare system access. We applied SL techniques to a real-world dataset, namely the 2010 wave of the SIRS cohort, which included a sample of 3006 adults from the Paris region, France. Healthcare utilization, encompassing both direct and indirect access to care, was the primary outcome. Candidate determinants included health status, demographic characteristics, and socio-cultural and economic positions. We present two approaches: a non-automated epidemiological method (an initial expert knowledge network and stepwise logistic regression models) and three SL techniques using various algorithms, with and without knowledge constraints. We compared the results based on the presence, direction, and strength of specific links within the produced network. Although the interdependencies and relative strengths identified by both approaches were similar, the SL algorithms detect fewer associations with the outcome than the non-automated method. Relationships between variables were sometimes incorrectly oriented when using a purely data-driven approach. SL algorithms can be valuable in exploratory stages, helping to generate new hypotheses or mining novel databases. However, results should be validated against prior knowledge and supplemented with additional confirmatory analyses.

Inegalitarian effects on access to vaccines of delegating Covid-19 vaccination to a private online appointment platform: The French case

A great deal of research has shown that health inequalities are the product of socially unequal wear and tear of bodies, socially differentiated use of the healthcare system and unequal access to care, as well as healthcare professionals' differentiating practices. However, public policies are rarely the focus of recent investigations on the production of health inequalities. How can public policies produce or even amplify health inequalities, but also reduce them, or fail to do so? This study aims to investigate the impact of online appointment booking on effective access to Covid-19 vaccination. Through a quantitative survey of the first weeks of vaccination against Covid-19 in 2021 in an undeserved French suburb called Seine-Saint-Denis, this paper shows how the vaccination policy has contributed to reproducing and amplifying inequalities towards Covid-19: middle and upper classes are significantly more represented among people vaccinated (67%) than in the population of Seine-SaintDenis (41%), and working classes are significantly less represented (33%) than in Seine-Saint-Denis (59%). The people vaccinated are more highly educated and more often French than the population of SeineSaint-Denis. Online appointment favoured more educated people.

Combined influence of immigration status and income on cervical cancer screening uptake

The regular performance of Pap tests for cervical cancer screening reduces this disease's incidence and mortality. Income inequalities have been reported for this screening, partly because in some countries women must advance or even pay out-of-pocket costs. Because immigrant status is also associated with low Pap test uptake, we aimed to analyze the combined impact of immigrant status and low income on cervical cancer underscreening. This study, based on the French CONSTANCES cohort, uses data from the cohort questionnaires and linked health insurance fund data about Pap test reimbursement. To measure income inequalities in screening, we calculated a Slope Index of Inequality (SII) by linear regression, taking into account the migration status of participants. The majority of the 70,614 women included in the analysis were not immigrants (80.2%), while 12.9% were second-generation immigrants, and 6.9% first-generation immigrants. The proportion of underscreening increased with immigrant status, from 19.5% among nonimmigrants to 23.6% among the second generation, and 26.5% among the first (P < 0.01). The proportion of underscreening also increased as income level decreased. The income gradient rose significantly from 14% among nonimmigrants to 21% in second-generation immigrants and 19% in the first generation (P < 0.01). Among first-generation migrants, the shorter the duration of residence, the higher the SII. Women who are first- or second-generation immigrants are simultaneously underscreened and subject to a more unfavorable economic gradient than native French women born to native French parents. The accumulation of several negative factors could be particularly unfavorable to screening uptake.

Place-Based Developmental Research: Conceptual and Methodological Advances in Studying Youth Development in Context

Scientists have, for some time, recognized that development unfolds in numerous settings, including families, schools, neighborhoods, and organized and unorganized activity settings. Since the turn of the 20th century, the body of mainstream neighborhood effects scholarship draws heavily from the early 20th century Chicago School of Sociology frameworks and have been situating development in neighborhood contexts and working to identify the structures and processes via which neighborhoods matter for a range of developmental outcomes, especially achievement, behavioral and emotional problems, and sexual activity. From this body of work, two new areas of developmental scholarship are emerging. Both areas are promising for advancing an understanding of child development in context. First, cultural-developmental neighborhood researchers are advancing neighborhood effects research that explicitly recognizes the ways that racial, ethnic, cultural, and immigrant social positions matter for neighborhood environments and for youths' developmental demands, affordances, experiences, and competencies. This body of work substantially expands the range of developmental outcomes examined in neighborhood effects scholarship to recognize normative physical, emotional, cognitive, behavioral, social, and cultural competencies that have largely been overlooked in neighborhood effects scholarship that espoused a more color-blind developmental approach. Second, activity space neighborhood researchers are recognizing that residential neighborhoods have important implications for broader activity spaces-or the set of locations and settings to which youth are regularly exposed, including, for example, schools, work, organized activities, and hang-outs. They are using newer technologies and geographic frameworks to assess exposure to residential neighborhood and extra-neighborhood environments. These perspectives recognize that time (i.e., from microtime to mesotime) and place are critically bound and that exposures can be operationalized at numerous levels of the ecological system (i.e., from microsystems to macrosystems). These frameworks address important limitations of prior development in context scholarship by addressing selection and exposure. Addressing selection involves recognizing that families have some degree of choice when selecting into settings and variables that predict families' choices (e.g., income) also predict development. Considering exposure involves recognizing that different participants or residents experience different amounts of shared and nonshared exposures, resulting in both under-and over-estimation of contextual effects. Activity space scholars incorporate exposure to the residential neighborhood environments, but also to other locations and settings to which youth are regularly exposed, like schools, after-school settings, work, and hang-outs. Unfortunately, the cultural-development and activity space streams, which have both emerged from early 20th century work on neighborhood effects on development, have been advancing largely independently. Thus, the overarching aim of this monograph is to integrate scholarship on residential neighborhoods, cultural development, and activity spaces to advance a framework that can support a better understanding of development in context for diverse groups. In Chapters I and II we present the historical context of the three streams of theoretical, conceptual, and methodological research. We also advance a comprehensive cultural-developmental activity space framework for studying development in context among children, youth, and families that are ethnically, racially, and culturally heterogeneous. This framework actively recognized diversity in ethnic, racial, immigrant, and socioeconomic social positions. In Chapters III-V we advance specific features of the framework, focusing on: (1) the different levels of nested and nonnested ecological systems that can be captured and operationalized with activity space methods, (2) the different dimensions of time and exposures or experiences that can be captured and operationalized by activity space methods, and (3) the importance of settings structures and social processes for identifying underlying mechanisms of contextual effects on development. Structures are setting features related to the composition and spatial arrangement of people and institutions (e.g., socioeconomic disadvantage, ethnic/racial compositions). Social processes represent the collective social dynamics that take place in settings, like social interactions, group activities, experiences with local institutions, mechanisms of social control, or shared beliefs. In Chapter VI, we highlight a range of methodological and empirical exemplars from the United States that are informed by our comprehensive cultural-developmental activity space framework. These exemplars feature both quantitative and qualitative methods, including method mixing. These exemplars feature both quantitative and qualitative methods, including method mixing. The exemplars also highlight the application of the framework across four different samples from populations that vary in terms of race, ethnicity, gender, age, socioeconomic status (SES), geographic region, and urbanicity. They capture activity space characteristics and features in a variety of ways, in addition to incorporating family shared and nonshared activity space exposures. Finally, in Chapter VII we summarize the contributions of the framework for advancing a more comprehensive science of development in context, one that better realizes major developmental theories emphasizing persons, processes, contexts, and time. Additionally, we offer a place-based, culturally informed developmental research agenda to meet the needs of an increasingly diverse population.

Functional forms of socio-territorial inequities in breast cancer screening - A French cross-sectional study using hierarchical generalised additive models

To reduce the breast cancer burden, the French National Organised Breast Cancer Screening Programme (FNOBCSP) was implemented in 2004. The recommended participation rate has never been achieved and socio-territorial inequities in participation have been reported on several occasions. We investigated the functional forms and consistency of the relationships between neighbourhood deprivation, travel time to the nearest accredited radiology centre and screening uptake. We used two-level hierarchical generalised additive models in 8 types of territories classified by socio-demographic and economic factors. The first level was 368,201 women aged 50-72 invited to the 2013-2014 screening campaign in metropolitan France. They were nested in 41 départements, the level of organisation of the FNOBCSP. The effect of travel time showed two main patterns: it was either linear (with participation decreasing as travel time increased) or participation first increased with increasing travel time to a peak around 5-15 min and decreased afterward. In nearly all types and départements, the probability of participation decreased linearly with increasing deprivation. Territorial inequities in participation were more context-dependent and complex than social inequities. Inequities in participation represent a loss of opportunity for individuals who already have the worst cancer outcomes. Evidence-based public health policies are needed to increase the effectiveness and equity of breast cancer screening.

Role of mammography accessibility, deprivation and spatial effect in breast cancer screening participation in France: an observational ecological study

BACKGROUND

The detection of cancer in its early latent stages can improve patients' chances of recovery and thereby reduce the overall burden of the disease. Our objectives were to investigate factors (geographic accessibility and deprivation level) affecting mammography screening participation variation and to determine how much geographic variation in participation rates can be explained by spillover effects between adjacent areas, while controlling for covariates.

METHODS

Mammography screening participation rates between 2015 and 2016 were calculated by census blocks (CB), for women aged 50-74 years, residing in Lyon metropolitan area. Global spatial autocorrelation tests were applied to identify the geographic variation of participation. Spatial regression models were used to incorporate spatial structure to estimate associations between mammography participation rate and the combined effect (geographic accessibility and deprivation level) adjusting for modes of travel and social cohesion.

RESULTS

The mammography participation rate was found to have a statistically significant and positive spatial correlation. The participation rate of one CB was significantly and positively associated with the participation rates of neighbouring CB. The participation was 53.2% in residential and rural areas and 46.6% in urban areas, p < 0.001. Using Spatial Lag models, whereas the population living in most deprived CBs have statistically significantly lower mammography participation rates than lower deprived ones, significant interaction demonstrates that the relation differs according to the degree of urbanization.

CONCLUSIONS

This study makes an important methodological contribution in measuring geographical access and understanding better the combined effect of deprivation and the degree of urbanization on mammography participation and other contextual factors that affect the decision of using mammography screening services -which is a critical component of healthcare planning and equity.

Risk of Gynecological Cancers in Cholecystectomized Women: A Large Nationwide Cohort Study

Background: Gallstones affect women more frequently than men, and symptomatic gallstones are increasingly treated with surgical removal of the gallbladder (cholecystectomy). Breast, endometrial, and ovarian cancer share several risk factors with gallstones, including overweight, obesity, and exposure to female sex hormones. We intended to assess the association between cholecystectomy and female cancer risk, which has not been comprehensively investigated. Methods: We investigated the risk of female cancers after cholecystectomy leveraging the Swedish Cancer, Population, Patient, and Death registries. Standardized incidence ratios (SIRs) adjusted for age, calendar period, socioeconomic status, and residential area were used to compare cancer risk in cholecystectomized and non-cholecystectomized women. Results: During a median follow-up of 11 years, 325,106 cholecystectomized women developed 10,431 primary breast, 2888 endometrial, 1577 ovarian, and 705 cervical cancers. The risk of ovarian cancer was increased by 35% (95% confidence interval (CI) 2% to 77%) in the first 6 months after cholecystectomy. The exclusion of cancers diagnosed in the first 6 months still resulted in an increased risk of endometrial (19%, 95%CI 14% to 23%) and breast (5%, 95%CI 3% to 7%) cancer, especially in women cholecystectomized after age 50 years. By contrast, cholecystectomized women showed decreased risks of cervical (-13%, 95%CI -20% to -7%) and ovarian (-6%, 95%CI -10% to -1%) cancer. Conclusions: The risk of ovarian cancer increased by 35% in a just short period of time (6 months) following the surgery. Therefore, it is worth ruling out ovarian cancer before cholecystectomy. Women undergoing cholecystectomy showed an increased risk of breast and endometrial cancer up to 30 years after surgery. Further evaluation of the association between gallstones or gallbladder removal on female cancer risk would allow for the assessment of the need to intensify cancer screening in cholecystectomized women.

Do vulnerable groups access prevention services? Cervical cancer screening and HIV testing among homeless migrant women in the Paris metropolitan area

INTRODUCTION

Homeless migrant women, facing adverse living conditions and barriers to legal status, are at risk of cervical cancer, HIV infection and may encounter barriers to screening services. We investigate factors associated with each screening in a population of migrant women in France and aim to determine the mean time since last HIV testing according to duration of residence in France.

METHODS

We use data from the DSAFHIR study (Rights and Health of Migrant Women in Emergency Housing) investigating health and migration experience of homeless migrant women housed in emergency housing hotels in the Paris Metropolitan area in 2017. We computed multivariate logistic regression models to investigate no lifetime cervical cancer screening (CCS) and no lifetime HIV test. We used linear regression models to analyze time since last HIV test.

RESULTS

We included 469 women. 46% of respondents had no lifetime CCS, 31% had no lifetime HIV test. Both screenings were associated with educational attainment and French proficiency. Compared with duration of residence < 1 year, duration ≥ 7 years was associated with a lower likelihood of no lifetime CCS (adjusted Odd Ratio = 0.17; 95% CI = 0.07-0.39). Compared to women born in North Africa, women born in West (aOR = 0.15; 95% CI = 0.07-0.33) and East Africa (aOR = 0.06; 95% CI = 0.02-0.20) were less likely to have no lifetime HIV test. Time since last HIV test increased for each additional year spent in France (coef = 0.21; 95% CI = 0.09, 0.33).

CONCLUSION

While access to CCS remains poor for recent migrants, HIV testing is more likely to occur shortly after migration.

Perceived neighbourhood characteristics and depressive symptoms: Potential mediators and the moderating role of employment status

Multiple neighbourhood characteristics have been linked to depressive symptoms. However, few studies have simultaneously considered multiple mechanisms that explain this relationship, and how they might interact. Further, most studies regard exposure to the residential environment as constant, and therefore disregard variation in exposure by individual factors. This study investigates whether and to what extent stress and physical activity mediate the association between neighbourhood characteristics and depression, and also to what extent employment status moderates this relationship. A population-representative survey of n = 11,505 people in the Netherlands was conducted. Depressive symptoms were measured using the Patient Health Questionnaire (PHQ-9). Neighbourhood characteristics were perceived green and blue space, pleasantness, environmental disturbance, social cohesion and safety. Employment status was combined with place of work to establish two groups: those who were non-working or who worked from home ('at home'), and those who worked somewhere outside of the home ('working'). Multi-group structural equation modelling was employed to understand the theorised relationships for both groups. Perceived environmental disturbance, social cohesion and safety were significantly indirectly related to depressive symptoms via stress, with larger effect sizes in the 'at home' group. Pleasantness was also significantly indirectly related to depressive symptoms via stress, in the 'at home' group only. There was no evidence for physical activity as a mediator. Our findings suggest that neighbourhood social characteristics may have a greater influence on depressive symptoms than physical characteristics. Stress appears to be a key mediator of this relationship. In addition, the neighbourhood appears to exert a greater influence on those who spend more time in their neighbourhood. Interventions to promote mental health should focus on the social environment, and in particular pay attention to those who are spatially confined in poorer quality neighbourhoods.

Perspectives of deprived patients on diabetes self-management programmes delivered by the local primary care team: a qualitative study on facilitators and barriers for participation, in France

Background

Diabetes self-management education (DSME) is an effective intervention for patients with type 2 diabetes mellitus (T2DM); nevertheless, patient participation in this type of programme is low. Implementation of DSME programmes in primary care practices by the local multi-professional team is a potential strategy to improve access to DSME for T2DM patients. The aim of this study was to identify perceived facilitators and barriers by patients to participation in local DSME delivered by primary care professionals in France.

Method

T2DM patients, informed and recruited during consulting with their usual care provider, who had attended a structured and validated DSME programme delivered by 13 primary care providers within a multi-professional primary care practice in a deprived area of 20,000 inhabitants, were invited to participate in this study. A qualitative study with semi-structured, in-depth interviews was conducted with study participants, between July 2017 and February 2018. A reflexive thematic analysis of the interviews was carried out. Coding schemes were developed to generate thematic trends in patient descriptions of facilitators and barriers to DSME participation.

Results

Nineteen interviews (mean length 31 min; [20–44 min]) were completed with T2DM patients. Four themes on facilitators for programme participation emerged from the data: geographical proximity of a DSME programme held in the local multi-professional primary care practice; effective promotion of the DSME programme by the local multi-professional team; pre-existing relationship between patients and their healthcare providers; and potential to establish new social interactions within the neighbourhood by participating in the programme. Three themes on barriers to attendance emerged: integrating the DSME programme into their own schedules; difficulties in expressing themselves in front of a group; and keeping the motivation for self-managing their T2DM.

Conclusions

From the patient perspective, the programme geographical proximity and the pre-existing patient-healthcare provider relationship were important factors that contributed to participation. Healthcare providers should consider these factors to improve access to DSME programmes and diabetes self-management in deprived populations. Longitudinal studies should be performed to measure the impact of these programmes.

Risk of late cervical cancer screening in the Paris region according to social deprivation and medical densities in daily visited neighborhoods

Background

Social and physical characteristics of the daily visited neighborhoods have gained an extensive interest in analyzing socio-territorial inequalities in health and healthcare. The objective of the present paper is to estimate and discuss the role of individual and contextual factors on participation in preventive health-care activities (smear screening) in the Greater Paris area focusing on the characteristics of daily visited neighborhoods in terms of medical densities and social deprivation.

Methods

The study included 1817 women involved in the SIRS survey carried out in 2010. Participants could report three neighborhoods they regularly visit (residence, work/study, and the next most regularly visited). Two “cumulative exposure scores” have been computed from household income and medical densities (general practitioners and gynecologists) in these neighborhoods. Multilevel logistic regression models were used to measure association between late cervical screening (> 3 years) and characteristics of daily visited neighborhoods (residential, work or study, visit).

Results

One-quarter of the women reported that they had not had a smear test in the previous 3 years. Late smear test was found to be more frequent among younger and older women, among women being single, foreigners and among women having a low-level of education and a limited activity space. After adjustment on individual characteristics, a significant association between the cumulative exposure scores and the risk of a delayed smear test was found: women who were exposed to low social deprivation and to low medical densities in the neighborhoods they daily visit had a significantly higher risk of late cervical cancer screening than their counterparts.

Conclusions

For a better understanding of social and territorial inequalities in healthcare, there is a need for considering multiple daily visited neighborhoods. Cumulative exposure scores may be an innovative approach for analyzing contextual effects of daily visited neighborhoods rather than focusing on the sole residential neighborhood.

Identifying Urban Residents’ Activity Space at Multiple Geographic Scales Using Mobile Phone Data

Residents’ activity space reflects multiple aspects of human life related to space, time, and type of activity. How to measure the activity space at multiple geographic scales remains a problem to be solved. Recently, the emergence of big data such as mobile phone data and point of interest data has brought access to massive geo-tagged datasets to identify human activity at multiple geographic scales and to explore the relationship with built environment. In this research, we propose a new method to measure three types of urban residents’ activity spaces—i.e., maintenance activity space, commuting activity space, and recreational activity space—using mobile phone data. The proposed method identifies the range of three types of residents’ activity space at multiple geographic scales and analyzing the relationship between the built environment and activity space. The research takes Zhuhai City as its case study and discovers the spatial patterns for three activity space types. The proposed method enables us to achieve a better understanding of the human activities of different kinds, as well as their relationships with the built environment.

Regional variations in the use of statutory skin cancer screenings in Germany: population-based spatial multisource analysis

BACKGROUND

Due to the increasing incidence of skin cancer, programmes for the prevention of skin cancer have been developed and implemented in Germany. However, utilization of skin cancer screenings shows marked regional differences. Reasons and predictors of such variations are unclear.

OBJECTIVES

The objective of the study is to identify predictors for regional use of skin cancer screening variations in Germany.

METHODS

Analysis of the population set of ambulatory claims data (2009-2015) of the statutory health insurances (SHI) in Germany (70.2 million people in 2015). Skin cancer screening utilization rate was determined on county level. Descriptive, cluster and multivariate analyses were performed to identify spatial patterns in skin cancer screening utilization.

RESULTS

Overall, 6.5-7.9 million people participated in skin cancer screenings. Utilization rates of people ≥35 years of age were 9.74% (2009) and 10.96% (2015). Marked regional variations were identified between the counties. Dermatologists in Saxony and Westphalia-Lippe as well as general practitioners in Lower Saxony and North Rhine showed particularly high utilization rates. Multiple regression analyses demonstrated e.g. positive associations between the skin cancer screening utilization rates and employees with higher vocational qualifications and shorter travel time by car to the nearest major urban centre.

CONCLUSION

Utilization rates of skin cancer screening vary largely in Germany with specific spatial patterns. Multivariate analyses demonstrate associations with socio-economic and geographical determinants. The results indicate the importance of health policy measures. These should be used in a more targeted manner in the regions in order to increase utilization of skin cancer screening.

Beyond Activity Space: Detecting Communities in Ecological Networks

Emerging research suggests that the extent to which activity spaces - the collection of an individual's routine activity locations - overlap provides important information about the functioning of a city and its neighborhoods. To study patterns of overlapping activity spaces, we draw on the notion of an ecological network, a type of two-mode network with the two modes being individuals and the geographic locations where individuals perform routine activities. We describe a method for detecting "ecological communities" within these networks based on shared activity locations among individuals. Specifically, we identify latent activity pattern profiles, which, for each community, summarize its members' probability distribution of going to each location, and community assignment vectors, which, for each individual, summarize his/her probability distribution of belonging to each community. Using data from the Adolescent Health and Development in Context (AHDC) Study, we employ latent Dirichlet allocation (LDA) to identify activity pattern profiles and communities. We then explore differences across neighborhoods in the strength, and within-neighborhood consistency of community assignment. We hypothesize that these aspects of the neighborhood structure of ecological community membership capture meaningful dimensions of neighborhood functioning likely to co-vary with economic and racial composition. We discuss the implications of a focus on ecological communities for the conduct of "neighborhood effects" research more broadly.

Is accessibility in the eye of the beholder? Social inequalities in spatial accessibility to health-related resources in Montréal, Canada

Neighbourhood resources are often considered to be spatially accessible to people when they are located close to their place of residence, a perspective which overlooks individuals' unique lived experience of their neighbourhood and how they define it. Drawing on the relational approach to place and on Sen's capability approach, we explore spatial accessibility to health-related resources, and the social gradient therein, in light of people's place experiences. Using data from 1101 young adults from Montreal (Canada) who participated in the Interdisciplinary Study of Inequalities in Smoking (ISIS), we compare the social gradients in the presence of health-related resources located (i) within uniform areas (defined as circular buffers and road-network buffers) around participants' place of residence; and (ii) within participants' self-defined neighbourhoods. Social inequalities in accessibility to a diversity of health-related resources (grocery stores, fruit and vegetable stores, eating and drinking places, recreational sports centres, civic, social, and fraternal organizations, bike paths, parks, social services, libraries, dental offices, physician offices) were more pronounced in self-defined neighbourhoods than in uniform buffer areas. Neglecting the variability in people's place experiences may distort the assessment of social inequalities in accessibility, and ultimately, of neighbourhood effects on health inequalities.

General practitioners who never perform Pap smear: the medical offer and the socio-economic context around their office could limit their involvement in cervical cancer screening

BACKGROUND

In France, with the growing scarcity of gynecologists and a globally low and socially differentiated coverage of cervical cancer screening (CCS), general practitioners (GPs) are valuable resources to improve screening services for women. Still all GPs do not perform Pap smears. In order to promote this screening among GPs, the characteristics of physicians who never perform CCS should be more precisely specified. Besides already-known individual characteristics, the contextual aspects of the physicians' office, such as gynecologist density in the area, could shape GPs gynecological activities.

METHODS

To analyze county (département) characteristics of GPs' office associated with no performance of CCS, we used a representative sample of 1063 French GPs conducted in 2009 and we constructed mixed models with two levels, GP and county.

RESULTS

Almost 35% (n = 369) of the GPs declared never performing CCS. GPs working in counties with a poor GP-density per inhabitants were more likely to perform CCS (odds ratio (OR) = 0.52 for each increase of density by 1 GP per 10,000 inhabitants, 95% confidence interval (CI) = 0.37-0.74). On the contrary, GPs working in counties with an easier access to a gynecologist were more likely not to perform CCS (OR = 1.06 for each increase of density by 1 gynecologist per 100,000 women, 95%CI = 1.03-1.10 and OR = 2.02 if the first gynecologist is reachable in less than 15 min, 95%CI = 1.20-3.41) as well as GPs working in areas with a poverty rate above the national average (OR = 1.66, 95%CI = 1.09-2.54). These contextual characteristics explain most of the differences between counties concerning rates of not performing CCS.

CONCLUSIONS

Specific programs should be developed for GPs working in contexts unfavorable to their involvement in CCS.

Dynamic Urban Environmental Exposures on Depression and Suicide (NEEDS) in the Netherlands: a protocol for a cross-sectional smartphone tracking study and a longitudinal population register study

INTRODUCTION

Environmental exposures are intertwined with mental health outcomes. People are exposed to the environments in which they currently live, and to a multitude of environments along their daily movements and through their residential relocations. However, most research assumes that people are immobile, disregarding that such dynamic exposures also serve as stressors or buffers potentially associated with depression and suicide risk. The aim of the Dynamic Urban Environmental Exposures on Depression and Suicide (NEEDS) study is to examine how dynamic environmental exposures along people's daily movements and over their residential histories affect depression and suicide mortality in the Netherlands.

METHODS AND ANALYSIS

The research design comprises two studies emphasising the temporality of exposures. First, a cross-sectional study is assessing how daily exposures correlate with depression. A nationally representative survey was administered to participants recruited through stratified random sampling of the population aged 18-65 years. Survey data were enriched with smartphone-based data (eg, Global Positioning System tracking, Bluetooth sensing, social media usage, communication patterns) and environmental exposures (eg, green and blue spaces, noise, air pollution). Second, a longitudinal population register study is addressing the extent to which past environmental exposures over people's residential history affect suicide risk later in life. Statistical and machine learning-based models are being developed to quantify environment-health relations.

ETHICS AND DISSEMINATION

Ethical approval (FETC17-060) was granted by the Ethics Review Board of Utrecht University, The Netherlands. Project-related findings will be disseminated at conferences and in peer-reviewed journal papers. Other project outcomes will be made available through the project's web page, http://www.needs.sites.uu.nl.

Spatial access to sport facilities from the multiple places visited and sport practice: Assessing and correcting biases related to selective daily mobility

BACKGROUND

Studies investigating the association between spatial accessibility to environmental resources from the various places a person visits during daily activities and use of corresponding resources often do not account for potential biases related to selective daily mobility. This bias occurs when accessibility is also measured from places intentionally visited to access the resources of interest. The aim of this study was to examine associations between spatial accessibility to sports facilities from multiple places and sport practice while addressing the selective daily mobility bias.

METHODS

The second wave of the RECORD Cohort was used to examine the relationship between the spatial accessibility to sport facilities and the practice of three sport categories (swimming, racket, and team sports), using multilevel linear probability models (n = 5327 participants) adjusted for individual and contextual characteristics. Street network distance to the nearest sport facility was considered as a measure of spatial accessibility [from the residence; from the residence and workplace; from all visited locations (full activity space), biased; and from all locations excluded those visited for sports (truncated activity space), corrected].

RESULTS

The residential and residential-workplace accessibility to facilities was not associated with sport practice. The spatial accessibility to facilities from all places visited (full activity space) was associated with the practice of the three categories of sports (biased relationships). After correcting the bias (truncated activity space), the strength of the relationships was markedly reduced. An association remained only for swimming sports.

CONCLUSION

This study underlines the need to account for selective daily mobility bias when determining spatial accessibility to resources from the various places visited. Such bias, if not addressed, may result in overestimated associations between spatial accessibility and use, leading to potentially erroneous conclusions in terms of planning.

Mapping Variation in Breast Cancer Screening: Where to Intervene?

Small geographic areas with lower mammography screening participation rates may reflect gaps in screening efforts. Our objective was to use spatial analyses to understand disparities in mammography screening use and to identify factors to increase its uptake in areas that need it in Lyon metropolitan area, France. Data for screened women between the ages of 50 and 74 were analyzed. Census blocks of screened and non screened women were extracted from the mammography screening programme 2015-2016 dataset. We used spatial regression models, within a generalized additive framework to determine clusters of census blocks with significantly higher prevalence of non-participation of mammography screening. Smoothed risk maps were crude and adjusted on the following covariates: deprivation index and opportunistic screening. Among 178,002 women aged 50 to 74, 49.9% received mammography screening. As hypothesized, women living in highly deprived census blocks had lower participation rates compared to less deprived blocks, 45.2% vs. 51.4% p < 0.001. Spatial analyses identified four clusters, one located in an urban area and three in suburban areas. Moreover, depending on the location of the cluster, the influence came from different variables. Knowing the impact of site-specific risk factors seems to be important for implementing an appropriate prevention intervention.

Tick Bite Risk as a Socio-Spatial Representation—An Exploratory Study in Massif Central, France

Ticks are responsible for the largest number of transmissions of vector-borne diseases in the northern hemisphere, which makes the risk from tick bites a serious public health problem. Biological scientific research and prevention studies are important, but they have not focused on the population’s perception of tick bite risk, especially at a spatial level. This exploratory article sets out to study this point through an innovative methodology involving the collection of 133 mental maps associated with a semi-structured interview and a socio-demographic questionnaire collected in the Massif Central region, France. The results show a strong link between the representation of the tick bite risk and the representation of particular landscapes. Forests appear as dangerous for the population, especially in the traditional activities of family walking or hiking. This calls into question overly anxiogenic prevention approaches that neglect the impact on practices in risk-prone spaces. It accentuates the need for localized education measure to improve knowledge about tick biology and avoid stereotypical and unnecessary negative representations associated with the environment.

Convergent validity of an activity-space survey for use in health research

We explored the validity of a survey measuring activity spaces for use in health research in a racially/ethnically diverse adult sample (n = 86) living in four Chicago neighborhoods. Participants reported on the location and visit frequency of 64 activities and wore a GPS data logger. We assessed the spatial congruence of survey- and GPS-derived convex hull measures and the number of GPS points within 100 m and 1000 m of survey locations. The survey-derived convex hull measures captured a small percentage (median = 35.9%) of the GPS-derived convex hull area. However, most GPS points were located within 100 m or 1000 m of home or reported survey locations (median = 73.4% and 92.6%, respectively).

Who self-medicates? Results from structural equation modeling in the Greater Paris area, France

OBJECTIVES

Our study aimed to describe the prevalence of self-medication among the Paris adult population and to identify the factors associated with self-medication.

MATERIALS AND METHODS

This cross-sectional study was based on data collected from the SIRS cohort (a French acronym for "Health, inequalities and social ruptures") in 2005 in the Paris metropolitan area using a face-to-face administration questionnaire among a representative sample of 3,023 French-speaking adults. Structural equation models were used to investigate the factors associated with self-medication in the overall population and according to income.

RESULTS

The prevalence of self-medication in the past four weeks was 53.5% in the Paris metropolitan area. Seven factors were directly associated with self-medication in the structural equation model. Self-medication was found more common among women, young people, in active employment or student, with a high income, but also among people with a health information seeking behavior, with a high daily mobility, and/or with a history of unmet healthcare needs due to economic reasons. When looking at these coefficients according to income, the association between self-medication and daily mobility appeared stronger in the bottom quartile of income whereas it was no longer significant in the rest of the survey population.

CONCLUSION

Self-medication is a frequent practice in the Paris metropolitan area. This study confirms the role of some factors found to be associated with self-medication in the literature such as age or gender and draws attention to other factors rarely explored such as daily mobility, especially among people with a low income, or health information seeking behavior.

Access to healthcare in superdiverse neighbourhoods

To date little attention has been focused on how the differing features of 'superdiverse' neighbourhoods shape residents' access to healthcare services. Through utilising a cross-national mixed-methods approach, the paper highlights how defining features of superdiverse neighbourhoods - 'newness', 'novelty' and 'diversity' - influence a number of neighbourhood 'domains' and 'rules of access' that regulate access to healthcare. Issues of uncertainty, affordability, compliance, transnationalism and the diversity of community and local sociability are identified as being particularly significant, but which may vary in importance according to the nationality, ethnicity and / or religion of particular individuals.

Evaluating the Impact of Neighborhood Characteristics on Differences between Residential and Mobility-Based Exposures to Outdoor Air Pollution

Epidemiological studies often assign outdoor air pollution concentrations to residential locations without accounting for mobility patterns. In this study, we examined how neighborhood characteristics may influence differences in exposure assessments between outdoor residential concentrations and mobility-based exposures. To do this, we linked residential location and mobility data to exposure surfaces for NO₂, PM_2.5, and ultrafine particles in Montreal, Canada for 5452 people in 2016. Mobility data were collected using the MTL Trajet smartphone application (mean: 16 days/subject). Generalized additive models were used to identify important neighborhood predictors of differences between residential and mobility-based exposures and included residential distances to highways, traffic counts within 500 m of the residence, neighborhood walkability, median income, and unemployment rate. Final models including these parameters provided unbiased estimates of differences between residential and mobility-based exposures with small root-mean-square error values in 10-fold cross validation samples. In general, our findings suggest that differences between residential and mobility-based exposures are not evenly distributed across cities and are greater for pollutants with higher spatial variability like NO₂. It may be possible to use neighborhood characteristics to predict the magnitude and direction of this error to better understand its likely impact on risk estimates in epidemiological analyses.

Cervical cancer screening among homeless women in the Greater Paris Area (France): results of the ENFAMS survey

Little is known about the prevalence of cervical cancer screening (CCS) and its correlates among homeless women in France. The objectives of this study were to determine the prevalence of women who had never been screened for cervical cancer and to identify the associated factors. This cross-sectional study was based on data collected in the ENFAMS survey, which was conducted in 2013 among 764 sheltered homeless mothers in the Greater Paris Area. Robust Poisson regression models were used to estimate the association between no lifetime CCS and certain sociodemographic and health-related factors (selected from the behavioral model of vulnerable populations). Analyses were carried out separately for women with and without a regular gynaecological follow-up (RGF). The proportion of never-screeners was 33% among the women with an RGF versus 64% among those without an RGF (P<0.001). Among the latter, never having been screened for CCS was associated mainly with socioeconomic conditions, the length of time lived in France, a history of delivery in France and the duration of homelessness. In those with an RGF, the factors were mainly poor health service utilization and language difficulties. This first quantitative study of CCS among homeless women in the Greater Paris Area points to the need for it to be proposed and performed more systematically in primary care. Every contact between this hard-to-reach population and health services should be an opportunity to check their screening status and to ensure that those in need actually undergo a Pap test.

Toward dynamic urban environmental exposure assessments in mental health research

It is increasingly recognized that mental disorders are affected by both personal characteristics and environmental exposures. The built, natural, and social environments can either contribute to or buffer against metal disorders. Environmental exposure assessments related to mental health typically rely on neighborhoods within which people currently live. In this article, I call into question such neighborhood-based exposure assessments at one point in time, because human life unfolds over space and across time. To circumvent inappropriate exposure assessments and to better grasp the etiologies of mental disease, I argue that people are exposed to multiple health-supporting and harmful exposures not only during their daily lives, but also over the course of their lives. This article aims to lay a theoretical foundation elucidating the impact of dynamic environmental exposures on mental health outcomes. I examine, first, the possibilities and challenges for mental health research to integrate people's environmental exposures along their daily paths and, second, how exposures over people's residential history might affect mental health later in life. To push the borders of scientific inquiries, I stress that only such mobility-based approaches facilitate an exploration of exposure duration, exposure sequences, and exposure accumulation.

User acceptance of location-tracking technologies in health research: Implications for study design and data quality

Research regarding place and health has undergone a revolution due to the availability of consumer-focused location-tracking devices that reveal fine-grained details of human mobility. Such research requires that participants accept such devices enough to use them in their daily lives. There is a need for a theoretically grounded understanding of acceptance of different location-tracking technology options, and its research implications. Guided by an extended Unified Theory of Acceptance and Use of Technology (UTAUT), we conducted a 28-day field study comparing 21 chronically ill people's acceptance of two leading, consumer-focused location-tracking technologies deployed for research purposes: (1) a location-enabled smartphone, and (2) a GPS watch/activity tracker. Participants used both, and completed two surveys and qualitative interviews. Findings revealed that all participants exerted effort to facilitate data capture, such as by incorporating devices into daily routines and developing workarounds to keep devices functioning. Nevertheless, the smartphone was perceived to be significantly easier and posed fewer usability challenges for participants than the watch. Older participants found the watch significantly more difficult to use. For both devices, effort expectancy was significantly associated with future willingness to participate in research although prosocial motivations overcame some concerns. Social influence, performance expectancy and use behavior were significantly associated with intentions to use the devices in participants' personal lives. Data gathered via the smartphone was significantly more complete than data gathered via the watch, primarily due to usability challenges. To make longer-term participation in location tracking research a reality, and to achieve complete data capture, researchers must minimize the effort involved in participation; this requires usable devices. For long-term location-tracking studies using similar devices, findings indicate that only smartphone-based tracking is up to the challenge.

Integrating activity spaces in health research: Comparing the VERITAS activity space questionnaire with 7-day GPS tracking and prompted recall

BACKGROUND

Accounting for daily mobility allows assessment of multiple exposure to environments. This study compares spatial data obtained (i) from an interactive map-based questionnaire on regular activity locations (VERITAS) and (ii) from GPS tracking.

METHODS

234 participants of the RECORD GPS Study completed the VERITAS questionnaire and wore a GPS tracker for 7 days. Analyses illustrate the spatial match between both datasets.

RESULTS

For half of the sample, 85.5% of GPS data fell within 500 m of a VERITAS location. The median minimum distance between a VERITAS location and a GPS coordinate ranged from 0.4 m for home to slightly over 100 m for a recreational destination.

CONCLUSIONS

There is a spatial correspondence between destinations collected through VERITAS and 7-day GPS tracking. Both collection methods offer complementary ways to assess daily mobilities, useful to study environmental determinants of health and health inequities.

Neighbourhood social and physical environment and general practitioner assessed morbidity

The aim of our study was to investigate the association between health enhancing and threatening, and social and physical aspects of the neighbourhood environment and general practitioner (GP) assessed morbidity of the people living there, in order to find out whether the effects of environmental characteristics add up or modify each other. We combined GP electronic health records with environmental data on neighbourhoods in the Netherlands. Cross-classified logistic multilevel models show the importance of taking into account several environmental characteristics and confounders, as social capital effects on the prevalence of morbidity disappear when other area characteristics are taken into account. Stratification by area socio-economic status, shows that the association between environmental characteristics and the prevalence of morbidity is stronger for people living in low SES areas. In low SES areas, green space seems to alleviate effects of air pollution on the prevalence of high blood pressure and diabetes, while the effects of green space and social capital reinforce each other.

Multi-Contextual Segregation and Environmental Justice Research: Toward Fine-Scale Spatiotemporal Approaches

Many environmental justice studies have sought to examine the effect of residential segregation on unequal exposure to environmental factors among different social groups, but little is known about how segregation in non-residential contexts affects such disparity. Based on a review of the relevant literature, this paper discusses the limitations of traditional residence-based approaches in examining the association between socioeconomic or racial/ethnic segregation and unequal environmental exposure in environmental justice research. It emphasizes that future research needs to go beyond residential segregation by considering the full spectrum of segregation experienced by people in various geographic and temporal contexts of everyday life. Along with this comprehensive understanding of segregation, the paper also highlights the importance of assessing environmental exposure at a high spatiotemporal resolution in environmental justice research. The successful integration of a comprehensive concept of segregation, high-resolution data and fine-grained spatiotemporal approaches to assessing segregation and environmental exposure would provide more nuanced and robust findings on the associations between segregation and disparities in environmental exposure and their health impacts. Moreover, it would also contribute to significantly expanding the scope of environmental justice research.

The daycourse of place

The present paper aims to contribute to the debate about the temporal relationships between place and health. It explores the notion of 'daycourse of place' echoing the discussion which recently occurred in this journal about the 'lifecourse of place' (Andrews, 2017; Lekkas et al., 2017a, b). When highlighting the importance of time in shaping health within places, most of studies focus either on the trajectories of places over a matter of years or the daily trajectories of people in link with their activity space. However, daily trajectories of places remain a poor cousin in place and health literature. This paper is intended to overcome 'jetlag', which places suffer when they are labelled with frozen attributes over a 24-h period. It explores the values and feasibility of exploring daily trajectories of places to investigate place effects on health or to design area-based interventions for public health action. More than just a metaphor, the 'daycourse of place' appears to be an inspiring framework to elaborate the importance of daily temporal relationalities for research and action in place-based health inequalities.

You are where you live: Methodological challenges to measuring children's exposure to hazards

Many of the challenges that affect children living in poverty are directly related to the neighborhoods in which they live. Places that inhibit healthy living and those that expose children to environmental pollution tend to more heavily affect children in poverty. This environmental injustice is a natural concern of the fields of urban planning, geography, and children's health. Yet many decisions that affect opportunities for healthy living are made without a full understanding of how neighborhood context influences such opportunities. In this brief, we paint inequalities in child health outcomes as a spatial problem, review some of the geospatial tools used by urban planners and geographers, discuss common reasons for misclassification or misrepresentation of spatially explicit problems, and propose more suitable methods for measuring opportunities and exposures germane to the field of child poverty. Throughout, we emphasize the need for evidence-driven, spatially grounded responses to child poverty issues with a spatial dimension.

Contextual determinants of participation in cervical cancer screening in France, 2010

BACKGROUND

Some contextual factors associated with participation in cervical cancer screening are reported in the literature, but few studies have examined their combined effect. Our objective was to assess the role of contextual characteristics, separately and in combination, in participation in cervical cancer screening in France.

METHODS

Marginal Poisson regression models - taking into account the correlation between women in a given commune - were conducted using data from the Baromètre Santé 2010 survey. The characteristics of the commune of residence of the women studied were the potential spatial accessibility to general practitioners (GP) and gynecologists, the agglomeration category, and the socioeconomic level.

RESULTS

The analyses were performed in 3380 women, 88.2% of whom were up to date with their cervical cancer screening. Once the individual characteristics were taken into account, the screening participation rate was similar in all the communes, with the exception of those with poor access to a gynecologist and good access to a GP, where the rate was 6% lower (95%CI: 0.5-11%) than in the communes with good access to both GP and gynecologist. The same association with accessibility was observed in small agglomerations. Compared to women living in the more advantaged communes, the screening participation rate was 8% (2-12%) lower in those living in the more disadvantaged ones, except when accessibility to both types of physician was high.

DISCUSSION

We observed an association between potential spatial accessibility to care in women's residential communities and their cervical cancer screening practices, in particular in small agglomerations, rural communes, and more disadvantaged communes.

Crowdsourcing the Robin Hood effect in cities

Socioeconomic inequalities in cities are embedded in space and result in neighborhood effects, whose harmful consequences have proved very hard to counterbalance efficiently by planning policies alone. Considering redistribution of money flows as a first step toward improved spatial equity, we study a bottom-up approach that would rely on a slight evolution of shopping mobility practices. Building on a database of anonymized card transactions in Madrid and Barcelona, we quantify the mobility effort required to reach a reference situation where commercial income is evenly shared among neighborhoods. The redirections of shopping trips preserve key properties of human mobility, including travel distances. Surprisingly, for both cities only a small fraction (∼5%) of trips need to be modified to reach equality situations, improving even other sustainability indicators. The method could be implemented in mobile applications that would assist individuals in reshaping their shopping practices, to promote the spatial redistribution of opportunities in the city.

The utility of EMR address histories for assessing neighborhood exposures

PURPOSE

Electronic medical records (EMRs) include residential address histories, which may alleviate exposure misclassification caused by exclusion of patient spatiotemporal location. EMR data are increasingly available but rarely leveraged as a measure of cumulative environmental exposure, in part due to limited understanding of the validity of EMR-derived address histories.

METHODS

We compared EMR address histories to self-reported histories among 100 patients of a safety-net health care system completing a telephone survey. We assessed agreement and compared seven neighborhood-level environmental exposures as assessed using both data sources.

RESULTS

While 17.1% of respondents did not live at the most recent EMR-derived address during the survey, nearly all (98%) lived there at some point. For respondents with more than one EMR-derived address (N = 64), 87.5% had once lived at the previous EMR address. Of these, 30.4% lived at 1 or more additional residences between the two most recent EMR address. For all measures, neighborhood-level environmental exposures did not differ when using EMR-derived versus self-report addresses.

CONCLUSIONS

More recent EMR-derived addresses are more accurate, and differences compared to self-reported addresses in neighborhood-level exposures are negligible. EMR-derived address histories are incomplete and likely suffer from collection bias; future research should further assess their validity and reliability.

The impact of car ownership and public transport usage on cancer screening coverage: Empirical evidence using a spatial analysis in England

A spatial analysis has been conducted in England, with the aim to examine the impact of car ownership and public transport usage on breast and cervical cancer screening coverage. District-level cancer screening coverage data (in proportions) and UK census data have been collected and linked. Their effects on cancer screening coverage were modelled by using both non-spatial and spatial models to control for spatial correlation. Significant spatial correlation has been observed and thus spatial model is preferred. It is found that increased car ownership is significantly associated with improved breast and cervical cancer screening coverage. Public transport usage is inversely associated with breast cancer screening coverage; but positively associated with cervical cancer screening. An area with higher median age is associated with higher screening coverage. The effects of other socio-economic factors such as deprivation and economic activity have also been explored with expected results. Some regional differences have been observed, possibly due to unobserved factors. Relevant transport and public health policies are thus required for improved coverage. While restricting access to cars may lead to various benefits in public health, it may also result in worse cancer screening uptake. It is thus recommended that careful consideration should be taken before implementing policy interventions.

Multiple contexts of exposure: Activity spaces, residential neighborhoods, and self-rated health

Although health researchers have made progress in detecting place effects on health, existing work has largely focused on the local residential neighborhood and has lacked a temporal dimension. Little research has integrated both time and space to understand how exposure to multiple contexts - where adults live, work, shop, worship, and seek healthcare - influence and shape health and well-being. This study uses novel longitudinal data from the Los Angeles Family and Neighborhood Survey to delve deeper into the relationship between context and health by considering residential and activity space neighborhoods weighted by the amount of time spent in these contexts. Results from multilevel cross-classified logistic models indicate that contextual exposure to disadvantage, residential or non-residential, is independently associated with a higher likelihood of reporting poor or fair health. We also find support for a contextual incongruence hypothesis. For example, adults living in the most disadvantaged neighborhoods are more likely to report poor or fair health when they spend time in more advantaged neighborhoods than in more disadvantaged ones, while residents of more advantaged neighborhoods report worse health when they spend time in more disadvantaged areas. Our results suggest that certain types of place-based cumulative exposures are associated with a sense of relative neighborhood deprivation that potentially manifests in worse health ratings.

Impact of migration origin on individual protection strategies against sexual transmission of HIV in Paris metropolitan area, SIRS cohort study, France

Background

The impact of migration and country or region of origin on sexual behaviours and prevention of the sexual transmission of HIV has been scarcely studied in France. The objective of this study was to evaluate if and how individual attitudes of prevention towards HIV infection are different according to country or region of origins in Paris area, France.

Methods

3006 individuals were interviewed in the Paris metropolitan area in 2010. Outcome variables were (i) the intention of the individual to protect oneself against HIV, and (ii) the adoption of a condom-based approach for protection against HIV. To explore factors associated with these outcomes, we constructed multivariate logistic regression models, first taking into account only demographic variables –including country of origin-, then successively adding socioeconomic variables and variables related to sexual behaviour and HIV perception and prevention behaviour.

Results

French and foreign people who have origins in Sub-Saharan Africa declared more intentions to protect themselves than French people with French parents (in foreign men, aOR = 3.43 [1.66–7.13]; in foreign women, aOR = 2.94 [1.65–5.23]), but did not declare more recourse to a condom-based approach for protection against HIV (in foreign men, aOR = 1.38 [0.38–4.93]; in foreign women, aOR = 0.93 [0.40–2.18]). Conversely, foreign women and French women from foreign origin, especially from Maghreb (Northern Africa), reported less intention of protection than French women with French parents.

Conclusions

These results underline the importance of taking culture and origins of target populations into consideration when designing information, education and communication about HIV and sexually transmitted diseases. These results also draw attention to fractions of the general population that could escape from prevention messages.

Electronic supplementary material

The online version of this article (doi:10.1186/s12889-015-2051-4) contains supplementary material, which is available to authorized users.

Which adults in the Paris metropolitan area have never been tested for HIV? A 2010 multilevel, cross-sectional, population-based study

BACKGROUND

Despite the widespread offer of free HIV testing in France, the proportion of people who have never been tested remains high. The objective of this study was to identify, in men and women separately, the various factors independently associated with no lifetime HIV testing.

METHODS

We used multilevel logistic regression models on data from the SIRS cohort, which included 3006 French-speaking adults as a representative sample of the adult population in the Paris metropolitan area in 2010. The lifetime absence of any HIV testing was studied in relation to individual demographic and socioeconomic factors, psychosocial characteristics, sexual biographies, HIV prevention behaviors, attitudes towards people living with HIV/AIDS (PLWHA), and certain neighborhood characteristics.

RESULTS

In 2010, in the Paris area, men were less likely to have been tested for HIV at least once during their lifetime than women. In multivariate analysis, in both sexes, never having been tested was significantly associated with an age younger or older than the middle-age group (30-44 years), a low education level, a low self-perception of HIV risk, not knowing any PLWHA, a low lifetime number of couple relationships, and the absence of any history of STIs. In women, other associated factors were not having a child < 20 years of age, not having additional health insurance, having had no or only one sexual partner in the previous 5 years, living in a cohabiting couple or having no relationship at the time of the survey, and a feeling of belonging to a community. Men with specific health insurance for low-income individuals were less likely to have never been tested, and those with a high stigma score towards PLWHA were more likely to be never-testers. Our study also found neighborhood differences in the likelihood of men never having been tested, which was, at least partially, explained by the neighborhood proportion of immigrants. In contrast, in women, no contextual variable was significantly associated with never-testing for HIV after adjustment for individual characteristics.

CONCLUSIONS

Studies such as this one can help target people who have never been tested in the context of recommendations for universal HIV screening in primary care.

Applying multivariate clustering techniques to health data: the 4 types of healthcare utilization in the Paris metropolitan area

BACKGROUND

Cost containment policies and the need to satisfy patients' health needs and care expectations provide major challenges to healthcare systems. Identification of homogeneous groups in terms of healthcare utilisation could lead to a better understanding of how to adjust healthcare provision to society and patient needs.

METHODS

This study used data from the third wave of the SIRS cohort study, a representative, population-based, socio-epidemiological study set up in 2005 in the Paris metropolitan area, France. The data were analysed using a cross-sectional design. In 2010, 3000 individuals were interviewed in their homes. Non-conventional multivariate clustering techniques were used to determine homogeneous user groups in data. Multinomial models assessed a wide range of potential associations between user characteristics and their pattern of healthcare utilisation.

RESULTS

We identified four distinct patterns of healthcare use. Patterns of consumption and the socio-demographic characteristics of users differed qualitatively and quantitatively between these four profiles. Extensive and intensive use by older, wealthier and unhealthier people contrasted with narrow and parsimonious use by younger, socially deprived people and immigrants. Rare, intermittent use by young healthy men contrasted with regular targeted use by healthy and wealthy women.

CONCLUSION

The use of an original technique of massive multivariate analysis allowed us to characterise different types of healthcare users, both in terms of resource utilisation and socio-demographic variables. This method would merit replication in different populations and healthcare systems.

What shape is your neighbourhood? Investigating the micro geographies of physical activity

Being physically active has demonstrated health benefits, and more walkable neighbourhoods can potentially increase physical activity. Yet not all neighbourhoods provide opportunities for active lifestyles. This paper examines the social context of being active in local and non-local places. We use a social practice theoretical framework to examine how residents talk about and make sense of physical activity and places, contrasting individual and neighbourhood factors. In 2010, fourteen focus groups were held in four neighbourhoods varying by walkability and area-level deprivation (two Auckland and two Wellington, New Zealand), and with participants grouped by gender, ethnicity, and employment. Focus groups elicited discussion on where local residents go for physical activity, and the opportunities and barriers to physical activity in their local area and beyond. Thematic analyses compared across all groups for contrasts and similarities in the issues discussed. Neighbourhood walkability factors appeared to shape where residents engage with public places, with residents seeking out good places. Individual factors (e.g. employment status) also influenced how residents engage with their local neighbourhoods. All groups referred to being active in places both close by and further afield, but residents in less walkable neighbourhoods with fewer local destinations drew attention to the need to go elsewhere, notably for exercise, being social, and to be in pleasant, restorative environments. Being physically active in public settings was valued for social connection and mental restoration, over and above specifically 'health' reasons. Residents talk about being active in local and non-local places revealed agency in how they managed the limitations and opportunities within their immediate residential setting. That is, factors of place and people contributed to the 'shape' of everyday residential environments, at least with regard to physical activity.

Proximity Does Not Equal Access: Racial Disparities in Access to High Quality Dialysis Facilities

BACKGROUND

For patients receiving hemodialysis, distance to their dialysis facility may be particularly important due to the need for thrice weekly dialysis. We sought to determine whether African-Americans and Whites differ in proximity and access to high quality dialysis facilities.

METHODS

We analyzed urban, Whites and African-Americans aged 18-65 receiving in-center hemodialysis linked to data on neighborhood and dialysis facility quality measures. In multivariable analyses, we examined the association between individual and neighborhood characteristics, and our outcomes: distance from home zip code to nearest dialysis facility, their current facility and the nearest high quality facility, as well as likelihood of receiving dialysis in a high quality facility.

RESULTS

African-Americans lived a half mile closer to a dialysis facility (B=-0.52) but traveled the same distance to their own dialysis facility compared to Whites. In initial analysis, African-Americans are 14% less likely than their White counterparts to attend a high quality dialysis facility (OR 0.86); and those disparities persist, though are reduced, even after adjusting for region, neighborhood poverty and percent African-American. In predominately African-American neighborhoods, individuals lived closer to high quality facilities (B=--5.92), but were 53% less likely to receive dialysis there (OR 0.47, highest group versus lowest, p<0.05). Living in a predominately African-American neighborhood explains 24% of racial disparity in attending a high quality facility.

CONCLUSIONS

African-Americans' proximity to high quality facilities does not lead to receiving care there. Institutional and social barriers may also play an important role in where people receive dialysis.

Assessing patterns of spatial behavior in health studies: their socio-demographic determinants and associations with transportation modes (the RECORD Cohort Study)

Prior epidemiological studies have mainly focused on local residential neighborhoods to assess environmental exposures. However, individual spatial behavior may modify residential neighborhood influences, with weaker health effects expected for mobile populations. By examining individual patterns of daily mobility and associated socio-demographic profiles and transportation modes, this article seeks to develop innovative methods to account for daily mobility in health studies. We used data from the RECORD Cohort Study collected in 2011-2012 in the Paris metropolitan area, France. A sample of 2062 individuals was investigated. Participants' perceived residential neighborhood boundaries and regular activity locations were geocoded using the VERITAS application. Twenty-four indicators were created to qualify individual space-time patterns, using spatial analysis methods and a geographic information system. Three domains of indicators were considered: lifestyle indicators, indicators related to the geometry of the activity space, and indicators related to the importance of the residential neighborhood in the overall activity space. Principal component analysis was used to identify main dimensions of spatial behavior. Multilevel linear regression was used to determine which individual characteristics were associated with each spatial behavior dimension. The factor analysis generated five dimensions of spatial behavior: importance of the residential neighborhood in the activity space, volume of activities, and size, eccentricity, and specialization of the activity space. Age, socioeconomic status, and location of the household in the region were the main predictors of daily mobility patterns. Activity spaces of small sizes centered on the residential neighborhood and implying a large volume of activities were associated with walking and/or biking as a transportation mode. Examination of patterns of spatial behavior by individual socio-demographic characteristics and in relation to transportation modes is useful to identify populations with specific mobility/accessibility needs and has implications for investigating transportation-related physical activity and assessing environmental exposures and their effects on health.

Redefining neighborhoods using common destinations: social characteristics of activity spaces and home census tracts compared

Research on neighborhood effects has focused largely on residential neighborhoods, but people are exposed to many other places in the course of their daily lives-at school, at work, when shopping, and so on. Thus, studies of residential neighborhoods consider only a subset of the social-spatial environment affecting individuals. In this article, we examine the characteristics of adults' "activity spaces"-spaces defined by locations that individuals visit regularly-in Los Angeles County, California. Using geographic information system (GIS) methods, we define activity spaces in two ways and estimate their socioeconomic characteristics. Our research has two goals. First, we determine whether residential neighborhoods represent the social conditions to which adults are exposed in the course of their regular activities. Second, we evaluate whether particular groups are exposed to a broader or narrower range of social contexts in the course of their daily activities. We find that activity spaces are substantially more heterogeneous in terms of key social characteristics, compared to residential neighborhoods. However, the characteristics of both home neighborhoods and activity spaces are closely associated with individual characteristics. Our results suggest that most people experience substantial segregation across the range of spaces in their daily lives, not just at home.