Literature DB >> 18475144

Residential environment and blood pressure in the PRIME Study: is the association mediated by body mass index and waist circumference?

Basile Chaix1, Pierre Ducimetière, Thierry Lang, Bernadette Haas, Michèle Montaye, Jean-Bernard Ruidavets, Dominique Arveiler, Philippe Amouyel, Jean Ferrières, Annie Bingham, Pierre Chauvin.   

Abstract

OBJECTIVES: Few studies have examined whether social characteristics of the residential environment are associated with blood pressure after controlling for individual sociodemographic characteristics. Even less is known about the processes by which these associations operate. Therefore, we examined whether distinct dimensions of the residential environment (socioeconomic position and urbanicity) were associated with systolic blood pressure. To better understand the processes involved in the associations between contextual factors and blood pressure, we assessed the extent to which these associations were mediated by body mass index and waist circumference.
METHODS: We analysed data from the PRIME Study (7850, 50-60-year-old men surveyed in 1991-1993 in three French regions and recently geocoded on a local scale). We used multilevel regression models to estimate associations between contextual factors and blood pressure, and path analysis to investigate possible mediators of these associations.
RESULTS: After adjustment for individual socioeconomic variables, systolic blood pressure increased independently with decreasing municipality population density and decreasing neighbourhood educational level. Path analysis indicated that approximately 37% of the association between neighbourhood education and blood pressure was statistically explained by the heavier weight and stronger central adiposity of people from deprived neighbourhoods. Approximately 19% of the association with population density was mediated by anthropometric factors.
CONCLUSIONS: These data suggest that the neighbourhood environment may influence blood pressure; only part of the associations between contextual factors and blood pressure may operate through body weight and body shape modification.

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Year:  2008        PMID: 18475144     DOI: 10.1097/HJH.0b013e3282fd991f

Source DB:  PubMed          Journal:  J Hypertens        ISSN: 0263-6352            Impact factor:   4.844


  21 in total

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Authors:  D Walter Rasugu Omariba; Nancy A Ross; Claudia Sanmartin; Jack V Tu
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3.  Walkability and cardiometabolic risk factors: Cross-sectional and longitudinal associations from the Multi-Ethnic Study of Atherosclerosis.

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Journal:  Health Place       Date:  2016-03-01       Impact factor: 4.078

4.  Association between neighborhood-level socioeconomic deprivation and incident hypertension: A longitudinal analysis of data from the Dallas heart study.

Authors:  Sophie E Claudel; Joel Adu-Brimpong; Alnesha Banks; Colby Ayers; Michelle A Albert; Sandeep R Das; James A de Lemos; Tammy Leonard; Ian J Neeland; Joshua P Rivers; Tiffany M Powell-Wiley
Journal:  Am Heart J       Date:  2018-08-06       Impact factor: 4.749

5.  Association of Socio-Environmental Determinants with Diabetes Prevalence in the Athens Metropolitan Area, Greece: A Spatial Analysis.

Authors:  Antigoni Faka; Christos Chalkias; Diego Montano; Ekavi N Georgousopoulou; Anestis Tripitsidis; Efi Koloverou; Dimitris Tousoulis; Christos Pitsavos; Demosthenes B Panagiotakos
Journal:  Rev Diabet Stud       Date:  2018-03-10

6.  Socioeconomic position is positively associated with blood pressure dipping among African-American adults: the Jackson Heart Study.

Authors:  Demarc A Hickson; Ana V Diez Roux; Sharon B Wyatt; Samson Y Gebreab; Gbenga Ogedegbe; Daniel F Sarpong; Herman A Taylor; Marion R Wofford
Journal:  Am J Hypertens       Date:  2011-06-09       Impact factor: 2.689

7.  Neighborhood Environments and Incident Hypertension in the Multi-Ethnic Study of Atherosclerosis.

Authors:  Paulina Kaiser; Ana V Diez Roux; Mahasin Mujahid; Mercedes Carnethon; Alain Bertoni; Sara D Adar; Steven Shea; Robyn McClelland; Lynda Lisabeth
Journal:  Am J Epidemiol       Date:  2016-05-08       Impact factor: 4.897

8.  Neighborhood Stress, Depressive Symptoms, and Asthma Morbidity in Youth.

Authors:  Erin T Tobin; Samuele Zilioli; Ledina Imami; Daniel J Saleh; Heidi S Kane; Richard B Slatcher
Journal:  J Pediatr Psychol       Date:  2016-03-19

9.  A method to define the relevant ego-centred spatial scale for the assessment of neighbourhood effects: the example of cardiovascular risk factors.

Authors:  Jürgen Breckenkamp; Oliver Razum; Jacob Spallek; Klaus Berger; Basile Chaix; Odile Sauzet
Journal:  BMC Public Health       Date:  2021-07-07       Impact factor: 3.295

10.  Effect of environmental and lifestyle factors on hypertension: Shimane COHRE study.

Authors:  Tsuyoshi Hamano; Yoshinari Kimura; Miwako Takeda; Masayuki Yamasaki; Minoru Isomura; Toru Nabika; Kuninori Shiwaku
Journal:  PLoS One       Date:  2012-11-09       Impact factor: 3.240

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