Cross-sectional analysis of educational inequalities in primary prevention statin use in UK Biobank

被引：7

作者：

Carter, Alice Rose ^{[1
,2
]}

Gill, Dipender ^{[3
,4
,5
,6
,7
,8
,9
]}

Smith, George Davey ^{[1
,2
,10
]}

Taylor, Amy E. ^{[2
,10
]}

Davies, Neil M. ^{[1
,2
,11
]}

Howe, Laura D. ^{[1
,2
]}

机构：

[1] Univ Bristol, Med Res Council Integrat Epidemiol Unit, Bristol, Avon, England

[2] Univ Bristol, Bristol Med Sch, Populat Hlth Sci, Bristol, Avon, England

[3] Imperial Coll London, Sch Publ Hlth, Dept Epidemiol & Biostat, London, England

[4] St Georges Univ Hosp NHS Fdn Trust, Clin Pharmacol & Therapeut Sect, Inst Med & Biomed Educ, London, England

[5] St Georges Univ Hosp NHS Fdn Trust, Inst Infect & Immun, London, England

[6] Novo Nordisk Res Ctr Oxford, Old Rd Campus, Oxford, England

[7] St Georges Univ London, Inst Med & Biomed Educ, Clin Pharmacol & Therapeut Sect, London, England

[8] St Georges Univ London, Inst Infect & Immun, London, England

[9] St Georges Univ Hosp NHS Fdn Trust, Pharm & Med Directorate, Clin Pharmacol Grp, London, England

[10] NIHR Bristol Biomed Res Ctr, Bristol, Avon, England

[11] Norwegian Univ Sci & Technol, KG Jebsen Ctr Genet Epidemiol, Dept Publ Hlth & Nursing, NTNU, Trondheim, Norway

来源：

HEART | 2022年 / 108卷 / 07期

基金：

英国医学研究理事会;

关键词：

statins; epidemiology; electronic health records; risk factors; CORONARY-HEART-DISEASE; SOCIOECONOMIC INEQUALITIES; MULTIPLE IMPUTATION; RISK-ASSESSMENT;

D O I：

10.1136/heartjnl-2021-319238

中图分类号：

R5 [内科学];

学科分类号：

1002 ; 100201 ;

摘要：

Objective Identify whether participants with lower education are less likely to report taking statins for primary cardiovascular prevention than those with higher education, but an equivalent increase in underlying cardiovascular risk. Methods Using data from a large prospective cohort study, UK Biobank, we calculated a QRISK3 cardiovascular risk score for 472 097 eligible participants with complete data on self-reported educational attainment and statin use (55% female participants; mean age 56 years). We used logistic regression to explore the association between (i) QRISK3 score and (ii) educational attainment on self-reported statin use. We then stratified the association between QRISK3 score and statin use, by educational attainment to test for interactions. Results There was evidence of an interaction between QRISK3 score and educational attainment. Per unit increase in QRISK3 score, more educated individuals were more likely to report taking statins. In women with <= 7 years of schooling, a one unit increase in QRISK3 score was associated with a 7% higher odds of statin use (OR 1.07, 95% CI 1.07 to 1.07). In women with >= 20 years of schooling, a one unit increase in QRISK3 score was associated with an 14% higher odds of statin use (OR 1.14, 95% CI 1.14 to 1.15). Comparable ORs in men were 1.04 (95% CI 1.04 to 1.05) for <= 7 years of schooling and 1.08 (95% CI 1.08, 1.08) for >= 20 years of schooling. Conclusion Per unit increase in QRISK3 score, individuals with lower educational attainment were less likely to report using statins, likely contributing to health inequalities.

引用

页码：536 / 542

页数：7

共 29 条

[1] Social deprivation and statin prescribing: a cross-sectional analysis using data from the new UK general practitioner 'Quality and Outcomes Framework' [J].