Literature DB >> 17376802

The shape of health to come: prospective study of the determinants of 30-year health trajectories in the Alameda County Study.

George A Kaplan1, Peter T Baltrus, Trivellore E Raghunathan.   

Abstract

BACKGROUND: Considerable evidence now exists indicating that incidence and progression of disease and disability are associated with socio-economic, behavioural, demographic and psychosocial factors. The emerging life course perspective suggests that these factors might be associated with not just the incidence of disease and death, but also trajectories of health over decades.
METHODS: Prospective study of a representative, population-based cohort studied on four occasions over 30 years. Trajectories of health over this period, combining self-rated health and date of death, were related to behavioural, psychosocial and socio-economic risk factors.
RESULTS: Trajectories of health were associated with behavioural, socioeconomic, and psychosocial risk factors, the strongest predictors being household income and physical activity. Those with an income 1 SD above the mean were approximately 25% more likely to die having previously consistently reported excellent health (Men: relative risk (RR) = 1.27, 95% CI = 1.10-1.46; Women: RR = 1.25, 95% CI = 1.06-1.47), were more likely to remain 'Alive in Excellent Health' (Men: RR = 1.35, 95% CI = 1.21-1.51; Women: RR = 1.30, 95% CI = 1.19-1.43) and were less likely to have shown an 'Unremitting Decline' (Men: RR = 0.72, 95% CI = 0.49-1.05; Women: RR = 0.71, 95% CI = 0.48-1.04). Those with low physical activity were approximately 50% less likely to die having consistently reported excellent health (Men: RR = 0.54, 95% CI = 0.39-0.76; Women: RR = 0.48, 95% CI = 0.33-0.71), and were five-times more likely to show an 'Unremitting Decline' (Men: RR = 5.05, 95% CI = 1.75-14.56; Women: RR = 5.00, 95% CI = 1.48-16.92). They were also less likely to be 'Alive in Excellent Health' (Men: RR = 0.41, 95% CI = 0.29-0.57; Women: RR = 0.44, 95% CI = 0.33-0.57).
CONCLUSIONS: The burden of illness associated with behavioural, socio-economic and psychosocial risk factors extends beyond shortening of life to poorer trajectories of health over decades.

Entities:  

Mesh:

Year:  2007        PMID: 17376802     DOI: 10.1093/ije/dym008

Source DB:  PubMed          Journal:  Int J Epidemiol        ISSN: 0300-5771            Impact factor:   7.196


  7 in total

1.  Cumulative structural disadvantage and racial health disparities: the pathways of childhood socioeconomic influence.

Authors:  Jeremy Pais
Journal:  Demography       Date:  2014-10

2.  Adolescence to young adulthood: when socioeconomic disparities in substance use emerge.

Authors:  Rachel Widome; Melanie M Wall; Melissa N Laska; Marla E Eisenberg; Dianne Neumark-Sztainer
Journal:  Subst Use Misuse       Date:  2013-07-08       Impact factor: 2.164

3.  Neighborhood socioeconomic conditions are associated with psychosocial functioning in older black and white adults.

Authors:  Susan A Everson-Rose; Kimberly A Skarupski; Lisa L Barnes; Todd Beck; Denis A Evans; Carlos F Mendes de Leon
Journal:  Health Place       Date:  2011-03-21       Impact factor: 4.078

4.  Cumulative socioeconomic disadvantage and cardiovascular disease mortality in the Alameda County Study 1965 to 2000.

Authors:  Vicki Johnson-Lawrence; Sandro Galea; George Kaplan
Journal:  Ann Epidemiol       Date:  2014-11-22       Impact factor: 3.797

5.  Socioeconomic mobility in adulthood and cardiovascular disease mortality.

Authors:  Vicki Johnson-Lawrence; George Kaplan; Sandro Galea
Journal:  Ann Epidemiol       Date:  2013-03-01       Impact factor: 3.797

6.  Comparing the influence of childhood and adult economic status on midlife obesity in Mexican American, white, and African American women.

Authors:  Pamela J Salsberry; Patricia B Reagan
Journal:  Public Health Nurs       Date:  2009 Jan-Feb       Impact factor: 1.462

7.  Clinical disorders in a post war British cohort reaching retirement: evidence from the First National Birth Cohort study.

Authors:  Mary B Pierce; Richard J Silverwood; Dorothea Nitsch; Judith E Adams; Alison M Stephen; Wing Nip; Peter Macfarlane; Andrew Wong; Marcus Richards; Rebecca Hardy; Diana Kuh
Journal:  PLoS One       Date:  2012-09-19       Impact factor: 3.240

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.