Socio-economic inequalities in C-reactive protein and fibrinogen across the adult age span: Findings from Understanding Society

被引:22
作者
Davillas, Apostolos [1 ]
Benzeval, Michaela [1 ]
Kumari, Meena [1 ,2 ]
机构
[1] Univ Essex, ISER, Colchester, Essex, England
[2] UCL, Dept Epidemiol & Publ Hlth, London, England
基金
英国经济与社会研究理事会;
关键词
LIFE-COURSE; CARDIOVASCULAR RISK; INFLAMMATORY MARKERS; POSITION; HEALTH; ASSOCIATION; POPULATION; GENDER;
D O I
10.1038/s41598-017-02888-6
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Systemic inflammation has been proposed as a physiological process linking socio-economic position (SEP) to health. We examined how SEP inequalities in inflammation -assessed using C-reactive protein (CRP) and fibrinogen-varied across the adult age span. Current (household income) and distal (education) markers of SEP were used. Data from 7,943 participants (aged 25+) of Understanding Society (wave 2, 1/2010-3/2012) were employed. We found that SEP inequalities in inflammation followed heterogeneous patterns by age, which differed by the inflammatory marker examined rather than by SEP measures. SEP inequalities in CRP emerged in 30s, increased up to mid-50s or early 60s when they peaked and then decreased with age. SEP inequalities in fibrinogen decreased with age. Body mass index (BMI), smoking, physical activity and healthy diet explained part, but not all, of the SEP inequalities in inflammation; in general, BMI exerted the largest attenuation. Cumulative advantage theories and those considering age as a leveler for the accumulation of health and economic advantages across the life-span should be dynamically integrated to better understand the observed heterogeneity in SEP differences in health across the lifespan. The attenuating roles of health-related lifestyle indicators suggest that targeting health promotion policies may help reduce SEP inequalities in health.
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页数:13
相关论文
共 45 条
[1]   Socioeconomic status and C-reactive protein levels in the US population: NHANES IV [J].
Alley, Dawn E. ;
Seeman, Teresa E. ;
Kim, Jung Ki ;
Karlamangla, Arun ;
Hu, Peifeng ;
Crimmins, Eileen M. .
BRAIN BEHAVIOR AND IMMUNITY, 2006, 20 (05) :498-504
[2]   Converging health inequalities in later life - An artifact of mortality selection? [J].
Beckett, M .
JOURNAL OF HEALTH AND SOCIAL BEHAVIOR, 2000, 41 (01) :106-119
[3]  
Benzeval M., 2011, BMC PUBLIC HEALTH, V11, P1
[4]  
Benzeval M., 2014, Understanding Society: The UK Household Longitudinal Study Biomarker User Guide and Glossary
[5]   Semantically-Guided Goal-Sensitive Reasoning: Inference System and Completeness [J].
Bonacina, Maria Paola ;
Plaisted, David A. .
JOURNAL OF AUTOMATED REASONING, 2017, 59 (02) :165-218
[6]   Socioeconomic Indices as Independent Correlates of C-Reactive Protein in the National Longitudinal Study of Adolescent Health [J].
Brummett, Beverly H. ;
Babyak, Michael A. ;
Singh, Abanish ;
Jiang, Rong ;
Williams, Redford B. ;
Harris, Kathleen Mullan ;
Siegler, Ilene C. .
PSYCHOSOMATIC MEDICINE, 2013, 75 (09) :882-893
[7]   GENDER AND EMPLOYMENT GRADE DIFFERENCES IN BLOOD CHOLESTEROL, APOLIPOPROTEINS AND HEMOSTATIC FACTORS IN THE WHITEHALL-II STUDY [J].
BRUNNER, EJ ;
MARMOT, MG ;
WHITE, IR ;
OBRIEN, JR ;
ETHERINGTON, MD ;
SLAVIN, BM ;
KEARNEY, EM ;
SMITH, GD .
ATHEROSCLEROSIS, 1993, 102 (02) :195-207
[8]  
Castagne R., 2016, SCI REPORTS, V6
[9]   Alternative measures to BMI: Exploring income-related inequalities in adiposity in Great Britain [J].
Davillas, Apostolos ;
Benzeval, Michaela .
SOCIAL SCIENCE & MEDICINE, 2016, 166 :223-232
[10]  
Ellis A., 2010, Regional Trends, V42, P60