Literature DB >> 21855740

Neighborhood socioeconomic status and leisure-time physical activity after myocardial infarction: A longitudinal study.

Yariv Gerber1, Vicki Myers, Uri Goldbourt, Yael Benyamini, Yaacov Drory.   

Abstract

BACKGROUND: Area-level SES is independently associated with myocardial infarction (MI) prognosis, yet the mechanisms for this association remain speculative.
PURPOSE: Using a population-based cohort of MI patients, this study examined whether neighborhood SES predicts long-term trajectory of leisure-time physical activity (LTPA), an established prognostic factor.
METHODS: Patients aged ≤65 years (n=1410) admitted to hospital in central Israel with first MI in 1992-1993, were followed up through 2005. LTPA was reported on five successive occasions: at baseline, 3-6 months, 1-2 years, 5 years, and 10-13 years post-MI. Generalized estimating equations (GEEs) with ordinal outcome variable (LTPA classified as regular, irregular, or none) were used to determine the independent predictive role of neighborhood SES in LTPA trajectory post-MI. Analyses were conducted in 2010-2011.
RESULTS: Engagement in LTPA was poor, with point prevalence rates ranging from 33% to 37% for inactivity and from 19% to 27% for irregular activity throughout follow-up. The GEE-derived ORs (95% CIs) for decreased LTPA level in the lower and middle vs upper neighborhood SES tertiles were 2.49 (2.05, 3.02) and 1.60 (1.33, 1.92) after age and gender adjustment, and 1.55 (1.26, 1.90) and 1.23 (1.02, 1.49) after multivariable adjustment for individual SES measures, cardiovascular risk factors, MI characteristics, and disease-severity indices, respectively (p for trend <0.001).
CONCLUSIONS: Low neighborhood SES is a powerful predictor of poor LTPA uptake in MI survivors, even after extensive adjustment for individual SES and baseline clinical profile. LTPA may thus represent an intermediate mechanism between neighborhood SES and post-MI outcome, which provides prevention opportunities.
Copyright © 2011 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 21855740     DOI: 10.1016/j.amepre.2011.05.016

Source DB:  PubMed          Journal:  Am J Prev Med        ISSN: 0749-3797            Impact factor:   5.043


  10 in total

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Journal:  Int J Public Health       Date:  2015-07-02       Impact factor: 3.380

Review 2.  Effect of Socioeconomic Status on Propensity to Change Risk Behaviors Following Myocardial Infarction: Implications for Healthy Lifestyle Medicine.

Authors:  Diann E Gaalema; Rebecca J Elliott; Zachary H Morford; Stephen T Higgins; Philip A Ades
Journal:  Prog Cardiovasc Dis       Date:  2017-01-05       Impact factor: 8.194

3.  Worksite neighborhood and obesogenic behaviors: findings among employees in the Promoting Activity and Changes in Eating (PACE) trial.

Authors:  Wendy E Barrington; Shirley A A Beresford; Thomas D Koepsell; Glen E Duncan; Anne Vernez Moudon
Journal:  Am J Prev Med       Date:  2014-11-06       Impact factor: 5.043

4.  Association of socioeconomic status measures with physical activity and subsequent frailty in older adults.

Authors:  Mark Kheifets; Abigail Goshen; Uri Goldbourt; Guy Witberg; Alon Eisen; Ran Kornowski; Yariv Gerber
Journal:  BMC Geriatr       Date:  2022-05-19       Impact factor: 4.070

Review 5.  Social, Economic, Technological, and Environmental Factors Affecting Cardiovascular Diseases: A Systematic Review and Thematic Analysis.

Authors:  Gisoo Alizadeh; Kamal Gholipour; Saber Azami-Aghdash; Reza Dehnavieh; Mohammad Asghari JafarAbadi; Mehrdad Azmin; Rahim Khodayari-Zarnaq
Journal:  Int J Prev Med       Date:  2022-04-27

6.  The impact of the 2008-2009 economic recession on acute myocardial infarction occurrences in various socioeconomic areas of raritan bay region, new jersey.

Authors:  Yulong Li; Iris Rukshin; Fangfang Pan; Shuvendu Sen; Mohammed Islam; Abdalla Yousif; Vladimir Rukshin
Journal:  N Am J Med Sci       Date:  2014-05

7.  Physical Fitness and Self-Image: An Evaluation of the Exercise Self-Schema Questionnaire Using Direct Measures of Physical Fitness.

Authors:  Jafra D Thomas; J Mark Vanness; Bradley J Cardinal
Journal:  Int J Exerc Sci       Date:  2016-10-01

8.  Association of neighborhood Walk Score with accelerometer-measured physical activity varies by neighborhood socioeconomic status in older women.

Authors:  Rebecca A Seguin-Fowler; Andrea Z LaCroix; Michael J LaMonte; Jingmin Liu; Jason E Maddock; Chad D Rethorst; Chloe E Bird; Marcia L Stefanick; JoAnn E Manson
Journal:  Prev Med Rep       Date:  2022-07-28

9.  Neighbourhood socioeconomic inequalities in incidence of acute myocardial infarction: a cohort study quantifying age- and gender-specific differences in relative and absolute terms.

Authors:  Carla Koopman; Aloysia A M van Oeffelen; Michiel L Bots; Peter M Engelfriet; W M Monique Verschuren; Lenie van Rossem; Ineke van Dis; Simon Capewell; Ilonca Vaartjes
Journal:  BMC Public Health       Date:  2012-08-07       Impact factor: 3.295

10.  Absence of a Socioeconomic Gradient in Older Adults' Survival with Multiple Chronic Conditions.

Authors:  Natasha E Lane; Colleen J Maxwell; Andrea Gruneir; Susan E Bronskill; Walter P Wodchis
Journal:  EBioMedicine       Date:  2015-11-18       Impact factor: 8.143

  10 in total

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