Association of neighbourhood socioeconomic status and diabetes burden using electronic health records in Madrid (Spain): the HeartHealthyHoods study

被引:29
作者
Bilal, Usama [1 ,2 ,3 ]
Hill-Briggs, Felicia [1 ,4 ,5 ]
Sanchez-Perruca, Luis [6 ,7 ]
Del Cura-Gonzalez, Isabel [7 ,8 ,9 ]
Franco, Manuel [1 ,2 ]
机构
[1] Johns Hopkins Bloomberg Sch Publ Hlth, Dept Epidemiol, Baltimore, MD 21205 USA
[2] Univ Alcala, Social & Cardiovasc Epidemiol Res Grp, Madrid, Spain
[3] Drexel Dornsife Sch Publ Hlth, Urban Hlth Collaborat, Philadelphia, PA 19104 USA
[4] Hopkins Med Inst, Welch Ctr Prevent Epidemiol & Clin Res, Baltimore, MD USA
[5] Johns Hopkins Univ, Sch Med, Baltimore, MD USA
[6] Madrid Hlth Serv, Primary Care Management, Madrid, Spain
[7] ISCIII, Hlth Serv Res Chron Patients Network REDISSEC, Madrid, Spain
[8] Madrid Hlth Serv, Primary Care Management, Primary Care Res Unit, Madrid, Spain
[9] Rey Juan Carlos Univ, Area Prevent Med & Publ Hlth, Madrid, Spain
来源
BMJ OPEN | 2018年 / 8卷 / 09期
基金
欧洲研究理事会;
关键词
social epidemiology; social inequalities; spain; record linkage; diabetes; neighborhoods; LOCAL FOOD ENVIRONMENT; SOCIAL DETERMINANTS; PREVENTION PROGRAM; GLYCEMIC CONTROL; RISK-FACTORS; WEIGHT-LOSS; FOLLOW-UP; TYPE-2; DEPRIVATION; DISPARITIES;
D O I
10.1136/bmjopen-2017-021143
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Objective To study the association between neighbourhood socioeconomic status and diabetes prevalence, incidence, and control in the entire population of northeastern Madrid, Spain. Setting Electronic health records of the primary-care system in four districts of Madrid (Spain). Participants 269942 people aged 40 or older, followed from 2013 to 2014. Exposure Neighbourhoodsocioeconomic status (NSES), measured using a composite index of seven indicators from four domains of education, wealth, occupation and living conditions. Primary outcome measures Diagnosis of diabetes based on ICPC-2 codes and glycated haemoglobin (HbA1c %). Results In regression analyses adjusted by age and sex and compared with individuals living in low NSES neighbourhoods, men living in medium and high NSES neighbourhoods had 10% (95% CI: 6% to 15%) and 29% (95% CI: 25% to 32%) lower prevalence of diabetes, while women had 27% (95% CI: 23% to 30%) and 50% (95% CI: 47% to 52%) lower prevalence of diabetes. Moreover, the hazard of diabetes in men living in medium and high NSES neighbourhoods was 13% (95% CI: 1% to 23%) and 20% (95% CI: 9% to 29%) lower, while the hazard of diabetes in women living in medium and high NSES neighbourhoods was 17% (95% CI: 3% to 29%) and 31% (95% CI: 20% to 41%) lower. Individuals living in medium and high SES neighbourhoods had 8% (95% CI: 2% to 15%) and 15% (95% CI: 9% to 21%) lower prevalence of lack of diabetes control, and a decrease in average HbA1c % of 0.05 (95% CI: 0.01 to 0.10) and 0.11 (95% CI: 0.06 to 0.15). Conclusions Diabetes prevalence, incidence and lack of control increased with decreasing NSES in a southern European city. Future studies should provide mechanistic insights and targets for intervention to address this health inequity.
引用
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页数:9
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