Monitoring Inequities in Self-Rated Health Over the Life Course in Population Surveillance Systems

被引:19
作者
Chittleborough, Catherine R. [1 ,3 ]
Taylor, Anne W. [3 ]
Baum, Fran E. [2 ]
Hiller, Janet E. [1 ]
机构
[1] Univ Adelaide, Discipline Publ Hlth, Sch Populat Hlth & Clin Practice, Adelaide, SA 5005, Australia
[2] Flinders Univ S Australia, Adelaide, SA, Australia
[3] S Australian Dept Hlth, Populat Res & Outcome Studies Unit, Adelaide, SA, Australia
关键词
SOCIOECONOMIC POSITION; INEQUALITIES; MOBILITY; CHILDHOOD; TELEPHONE; FRAMEWORK; MORTALITY; COHORT; TRENDS;
D O I
10.2105/AJPH.2008.141713
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Objectives. To investigate the effect of social mobility and to assess the use of socioeconomic indicators in monitoring health inequities over time, we examined the association of self-rated health with socioeconomic position over the life course. Methods. Data came from a cross-sectional telephone survey (n=2999) that included life-course socioeconomic indicators and from a chronic disease and risk factor surveillance system (n=26400). Social mobility variables, each with 4 possible intergenerational trajectories, were constructed from family financial situation and housing tenure during childhood and adulthood. Results. Low socioeconomic position during both childhood and adulthood and improved financial situation in adulthood were associated with a reduced prevalence of excellent or very good health. Trends over time indicated that socioeconomic disadvantage in adulthood was associated with poorer self-rated health. Conclusions. Our results support policies aiming to improve family financial situation during childhood and housing tenure across the life course. Inclusion of life-course socioeconomic measures in surveillance systems would enable monitoring of health inequities trends among socially mobile groups. (Am J Public Health. 2009;99:680-689. doi:10.2105/AJPH.2008.141713)
引用
收藏
页码:680 / 689
页数:10
相关论文
共 39 条
[1]  
[Anonymous], 2004, Applied logistic regression
[2]  
[Anonymous], SOC DET HLTH DEV EV
[3]  
[Anonymous], 2002, Chronic Dis Notes Rep, V15, P14
[4]  
*AUSTR BUR STAT, 2004, POP AG SEX S AUSTR
[5]   Prophecies of childhood: How children's social environments and biological propensities affect the health of populations [J].
Bauer, AM ;
Boyce, WT .
INTERNATIONAL JOURNAL OF BEHAVIORAL MEDICINE, 2004, 11 (03) :164-175
[6]  
CALOBARDES B, 2006, J EPIDEMIOL COMMUNIT, V60, P7
[7]  
Campostrini Stefano, 2005, Soz Praventivmed, V50 Suppl 1, pS9, DOI 10.1007/s00038-005-4104-4
[8]   THE MEASUREMENT OF INEQUITIES IN HEALTH - LESSONS FROM THE BRITISH-EXPERIENCE [J].
CARRHILL, R .
SOCIAL SCIENCE & MEDICINE, 1990, 31 (03) :393-404
[9]   A life-course approach to measuring socioeconomic position in population health surveillance systems [J].
Chittleborough, C. R. ;
Baum, F. E. ;
Taylor, A. W. ;
Hiller, J. E. .
JOURNAL OF EPIDEMIOLOGY AND COMMUNITY HEALTH, 2006, 60 (11) :981-992
[10]   Missing data on retrospective recall of early-life socio-economic position in surveillance systems: An additional disadvantage? [J].
Chittleborough, C. R. ;
Baum, F. ;
Taylor, A. W. ;
Hiller, J. E. .
PUBLIC HEALTH, 2008, 122 (11) :1152-1166