Spatial distribution of mammography adherence in a Swiss urban population and its association with socioeconomic status

被引:8
|
作者
Sandoval, Jose Luis [1 ,2 ,3 ,4 ]
Himsl, Rebecca [1 ,3 ,4 ,5 ]
Theler, Jean-Marc [1 ]
Gaspoz, Jean-Michel [1 ,6 ]
Joost, Stephane [1 ,3 ,4 ,5 ,7 ]
Guessous, Idris [1 ,3 ,4 ,6 ]
机构
[1] Geneva Univ Hosp, Dept Community Med Primary Care & Emergency Med, Unit Populat Epidemiol, Geneva, Switzerland
[2] Geneva Univ Hosp, Dept Gen Internal Med Rehabil & Geriatr, Geneva, Switzerland
[3] Geneva Univ Hosp, Geog Informat Res & Anal Publ Hlth Lab, Geneva, Switzerland
[4] Ecole Polytech Fed Lausanne, Lausanne, Switzerland
[5] Ecole Polytech Fed Lausanne, Lab Geog Informat Syst LASIG, Sch Architecture Civil & Environm Engn ENAC, Lausanne, Switzerland
[6] Univ Lausanne, Dept Ambulatory & Community Med, Lausanne, Switzerland
[7] Lausanne Univ Hosp CHUV, Div Chron Dis dMC, Inst Social & Prevent Med IUMSP, Lausanne, Switzerland
来源
CANCER MEDICINE | 2018年 / 7卷 / 12期
关键词
breast neoplasm; early detection of cancer; geography; health services; mammography; socioeconomic factors; INEQUALITIES; SMOKING; HEALTH;
D O I
10.1002/cam4.1829
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Purpose Local physical and social environment has a defining influence on individual behavior and health-related outcomes. However, it remains undetermined if its impact is independent of individual socioeconomic status. In this study, we evaluated the spatial distribution of mammography adherence in the state of Geneva (Switzerland) using individual-level data and assessed its independence from socioeconomic status (SES). Methods Georeferenced individual-level data from the population-based cross-sectional Bus Sante study (n = 5002) were used to calculate local indicators of spatial association (LISA) and investigate the spatial dependence of mammography adherence. Spatial clusters are reported without adjustment; adjusted for neighborhood income and individual educational attainment; and demographic factors (age and Swiss nationality). The association between adjusted clusters and the proximity to the nearest screening center was also evaluated. Results Mammography adherence was not randomly distributed throughout Geneva with clusters geographically coinciding with known SES distributions. After adjustment for SES indicators, clusters were reduced to 56.2% of their original size (n = 1033). Adjustment for age and nationality further reduced the number of individuals exhibiting spatially dependent behavior (36.5% of the initial size). The identified SES-independent hot spots and cold spots of mammography adherence were not explained by proximity to the nearest screening center. Conclusions SES and demographic factors play an important role in shaping the spatial distribution of mammography adherence. However, the spatial clusters persisted after confounder adjustment indicating that additional neighborhood-level determinants could influence mammography adherence and be the object of targeted public health interventions.
引用
收藏
页码:6299 / 6307
页数:9
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