TY - JOUR
T1 - Concordance of health states in couples
T2 - Analysis of self-reported, nurse administered and blood-based biomarker data in the UK Understanding Society panel
AU - Davillas, Apostolos
AU - Pudney, Stephen
PY - 2017/12/1
Y1 - 2017/12/1
N2 - We use self-reported health measures, nurse-administered measurements and blood-based biomarkers to examine the concordance between health states of partners in marital/cohabiting relationships in the UK. A model of cumulative health exposures is used to interpret the empirical pattern of between-partner health correlation in relation to elapsed relationship duration, allowing us to distinguish non-causal correlation due to assortative mating from potentially causal effects of shared lifestyle and environmental factors. We find important differences between the results for different health indicators, with strongest homogamy correlations observed for adiposity, followed by blood pressure, heart rate, inflammatory markers and cholesterol, and also self-assessed general health and functional difficulties. We find no evidence of a “dose–response relationship” for marriage duration, and show that this suggests – perhaps counterintuitively – that shared lifestyle factors and homogamous partner selection make roughly equal contributions to the concordance we observe in most of the health measures we examine.
AB - We use self-reported health measures, nurse-administered measurements and blood-based biomarkers to examine the concordance between health states of partners in marital/cohabiting relationships in the UK. A model of cumulative health exposures is used to interpret the empirical pattern of between-partner health correlation in relation to elapsed relationship duration, allowing us to distinguish non-causal correlation due to assortative mating from potentially causal effects of shared lifestyle and environmental factors. We find important differences between the results for different health indicators, with strongest homogamy correlations observed for adiposity, followed by blood pressure, heart rate, inflammatory markers and cholesterol, and also self-assessed general health and functional difficulties. We find no evidence of a “dose–response relationship” for marriage duration, and show that this suggests – perhaps counterintuitively – that shared lifestyle factors and homogamous partner selection make roughly equal contributions to the concordance we observe in most of the health measures we examine.
KW - Biomarkers
KW - Health
KW - Homogamy
KW - Spousal concordance
KW - Understanding Society
UR - http://www.scopus.com/inward/record.url?scp=85031720294&partnerID=8YFLogxK
U2 - 10.1016/j.jhealeco.2017.09.010
DO - 10.1016/j.jhealeco.2017.09.010
M3 - Article
C2 - 29035717
AN - SCOPUS:85031720294
VL - 56
SP - 87
EP - 102
JO - Journal of Health Economics
JF - Journal of Health Economics
SN - 0167-6296
ER -