Effect of socioeconomic level on knowledge of stroke in the general population: A social inequality gradient

被引:20
|
作者
Ramirez-Moreno, J. M. [1 ,6 ]
Alonso-Gonzalez, R. [2 ,3 ]
Pacheco, D. Peral [4 ]
Milian-Nunez, M. V. [5 ]
Roa-Montero, A. [1 ]
Constantino-Silva, A. B. [1 ]
Aguirre-Sanchez, J. J. [1 ,6 ]
机构
[1] Hosp Univ Infanta Cristina, Secc Neurol, Badajoz, Spain
[2] Royal Brompton Hosp, Adult Congenital Heart Ctr, London, England
[3] Royal Brompton Hosp, Ctr Pulm Hypertens, London, England
[4] Univ Extremadura, Dept Hist Med & Bioet, Fac Med, Badajoz, Spain
[5] Hosp Univ Infanta Cristina, Serv Cardiol, Badajoz, Spain
[6] Univ Extremadura, Dept Ciencias Biomed, Fac Med, Badajoz, Spain
来源
NEUROLOGIA | 2016年 / 31卷 / 01期
关键词
Stroke; Education; Social factors; Health promotion; Methods; Knowledge; ACUTE ISCHEMIC-STROKE; RISK-FACTORS; PREHOSPITAL DELAY; WARNING SIGNS; CARE; SYMPTOMS; DETERMINANTS; AWARENESS; EDUCATION; DELIVERY;
D O I
10.1016/j.nrl.2014.06.004
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Objectives: Socioeconomic status is a factor that influences health-related behaviour in individuals as well as health conditions in entire populations. The objective of the present study was to analyse the sociodemographic factors that may influence knowledge of stroke. Method: Cross-sectional study. A representative sample was selected by double randomisation. Face-to-face interviews were carried out by previously trained medical students using a structured questionnaire with open- and closed-ended questions. Adequate knowledge was previously defined. The Mantel-Haenszel test and adjusted logistic regression analysis were used to assess the association between knowledge of stroke and the study variables. Results: 2411 subjects were interviewed (59.9% women; mean age 49.0 [SD 17.3] years) Seventy-three per cent were residents of urban areas, 24.7% had a university education, and 15.2% had a low level of schooling. Only 2.1% reported earning more than 40 000 euros/year, with 29.9% earning less than 10000. Nearly 74% reported having an excellent or good state of health. The unemployment rate was 17.0%. Prevalence of "adequate knowledge" was 39.7% (95% cl: 37.7%-41.6%). Trend analysis showed an association between knowledge of stroke and income (z = 10.14, P < 0.0001); educational level (z = 15.95, P < 0.0001); state of health (z = 7.92, P < 0.0001); and employment status (z = 8.98, P < 0.0001). Conclusions: Educational level, income, employment status, and state of health are independent factors for adequate knowledge of stroke. Public awareness campaigns should present material using simple language and efforts should be directed toward the most disadvantaged social strata in particular. (C) 2014 Sociedad Espanola de Neurologia. Published by Elsevier Espana, S.L.U. All rights reserved.
引用
收藏
页码:24 / 32
页数:9
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