A typology of neighborhoods and blood pressure in the RECORD Cohort Study

Hulst, Andraea Van; Thomas, Frédérique; Barnett, Tracie A.; Kestens, Yan; Gauvin, Lise; Pannier, Bruno; Chaix, Basile

doi:10.1097/hjh.0b013e3283544863

Cited by 24 publications

(22 citation statements)

References 37 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…As previously described in detail, the RE-CORD participants were recruited during preventive health checkups in 2007-2008 and 2011-2013, born between 1928 and 1978, and resided at baseline in 112 municipalities of the I ˘ l e-de-France Paris region (5,7,13,34). In the second wave of the study (8,26), after undergoing a medical checkup and filling computerized questionnaires at the IPC Medical Centre (10,23), 410 individuals were invited to participate in the RECORD GPS study (9), of which 247 subjects agreed to participate.…”

Section: Methodsmentioning

confidence: 99%

Using GPS, GIS, and Accelerometer Data to Predict Transportation Modes

Brondeel

Pannier²,

Chaix

2015

Medicine &Amp; Science in Sports &Amp; Exercise

Self Cite

View full text Add to dashboard Cite

This study uses real-life data from a large sample set to test a method for predicting transportation modes at the trip level, thereby providing a useful complement to time unit-level prediction methods. By enabling predictions on the basis of a limited number of observations, this method may decrease the workload for participants/researchers and provide relevant trip-level data to investigate relations between transportation and health.

show abstract

Section: Methodsmentioning

confidence: 99%

Using GPS, GIS, and Accelerometer Data to Predict Transportation Modes

Brondeel

Pannier²,

Chaix

2015

Medicine &Amp; Science in Sports &Amp; Exercise

Self Cite

View full text Add to dashboard Cite

show abstract

“…For instance, the association between a low social standing measurement for residential neighbourhood and blood pressure was found after adjusting for individual/neighbourhood socioeconomic status and individual risk factors for hypertension [30]. A recent systematic review revealed that the majority of studies show a reduced risk of cardiovascular disease mortality in areas having higher residential greenness [31]; a finding confirmed by another study investigating respiratory disease, which showed that children living in areas with more street trees have lower prevalence of asthma [32].…”

Section: Introductionmentioning

confidence: 99%

Developing a data-driven spatial approach to assessment of neighbourhood influences on the spatial distribution of myocardial infarction

Kihal-Talantikite

Weber

Pédrono³

et al. 2017

Int J Health Geogr

View full text Add to dashboard Cite

Background There is a growing understanding of the role played by ‘neighbourhood’ in influencing health status. Various neighbourhood characteristics—such as socioeconomic environment, availability of amenities, and social cohesion, may be combined—and this could contribute to rising health inequalities. This study aims to combine a data-driven approach with clustering analysis techniques, to investigate neighbourhood characteristics that may explain the geographical distribution of the onset of myocardial infarction (MI) risk.MethodsAll MI events in patients aged 35–74 years occurring in the Strasbourg metropolitan area (SMA), from January 1, 2000 to December 31, 2007 were obtained from the Bas-Rhin coronary heart disease register. All cases were geocoded to the census block for the residential address. Each areal unit, characterized by contextual neighbourhood profile, included socioeconomic environment, availability of amenities (including leisure centres, libraries and parks, and transport) and psychosocial environment as well as specific annual rates standardized (per 100,000 inhabitants). A spatial scan statistic implemented in SaTScan was then used to identify statistically significant spatial clusters of high and low risk of MI.ResultMI incidence was non-randomly spatially distributed, with a cluster of high risk of MI in the northern part of the SMA [relative risk (RR) = 1.70, p = 0.001] and a cluster of low risk of MI located in the first and second periphery of SMA (RR 0.04, p value = 0.001). Our findings suggest that the location of low MI risk is characterized by a high socioeconomic level and a low level of access to various amenities; conversely, the location of high MI risk is characterized by a high level of socioeconomic deprivation—despite the fact that inhabitants have good access to the local recreational and leisure infrastructure.ConclusionOur data-driven approach highlights how the different contextual dimensions were inter-combined in the SMA. Our spatial approach allowed us to identify the neighbourhood characteristics of inhabitants living within a cluster of high versus low MI risk. Therefore, spatial data-driven analyses of routinely-collected data georeferenced by various sources may serve to guide policymakers in defining and promoting targeted actions at fine spatial level.

show abstract

“…First of all, most articles are carried out exclusively in high-income countries 6 , 12 , 14 , 21 . Moreover, the focus of most publications is on adults, with a few of them analyzing together – but not stratifying by age – data from older adults.…”

Section: Introductionmentioning

confidence: 99%

Effects of neighborhood socioeconomic status on blood pressure in older adults

Wagner

Boing²,

Subramanian

et al. 2016

Rev. Saúde Pública

View full text Add to dashboard Cite

OBJECTIVE To test if the neighborhood socioeconomic status is associated with systolic blood pressure and hypertension in older adults.METHODS A cross-sectional population-based study with a sample of 1,705 older adults from Florianópolis, SC, Southern Brazil. The contextual variable used was the average years of schooling of the head of the household in census tracts. Participants were considered hypertensive when the systolic blood pressure was ≥ 140 mmHg, diastolic ≥ 90 mmHg, or both. Additionally, the use of antihypertensive medication was also considered. Data were analyzed by using multilevel models of logistic and linear regression.RESULTS The average age of the sample was 70.7 years and the average of systolic and diastolic blood pressure was 133.5 mmHg (SD = 20.5 mmHg) and 81.9 mmHg (SD = 12.5 mmHg), respectively. The systolic blood pressure was 4.46 mmHg (95%CI 1.00–7.92) higher and the chance of hypertension was 1.80 (95%CI 1.26–2.57) among those who lived in census tracts with lower level of schooling. When the use of antihypertensive medication was combined with blood pressure levels, none association was found between the outcome and the level of schooling of the census tract.CONCLUSIONS Analytical models more robust (such as multilevel analysis) in Brazil are still little used, with a small number of articles published. Neighborhood socioeconomic status is associated with systolic blood pressure and the chance of hypertension, regardless of individual characteristics.

show abstract

A typology of neighborhoods and blood pressure in the RECORD Cohort Study

Abstract: Variations in BP were observed by levels of urbanicity and social conditions of residential neighborhoods, with different patterns for SBP and DBP. Population interventions to reduce hypertension targeted towards specific neighborhood types hold promise.

Cited by 24 publications

References 37 publications

Using GPS, GIS, and Accelerometer Data to Predict Transportation Modes

Using GPS, GIS, and Accelerometer Data to Predict Transportation Modes

Developing a data-driven spatial approach to assessment of neighbourhood influences on the spatial distribution of myocardial infarction

Effects of neighborhood socioeconomic status on blood pressure in older adults

Contact Info

Product

Resources

About