Independent Associations Between Different Measures of Socioeconomic Position and Smoking Status: A Cross-Sectional Study of Adults in England.
Independent Associations Between Different Measures of Socioeconomic Position and Smoking Status: A Cross-Sectional Study of Adults in England.
复制标题
DOI：
10.1093/ntr/ntaa030
复制
发表时间：
2021-01-07
期刊：
影响因子：
--
通讯作者：
Shahab L
中科院分区：
文献类型：
--
作者：
Beard E;Brown J;Jackson SE;West R;Kock L;Boniface S;Shahab L
为了更好地了解英国社会经济地位（SEP）和吸烟的不同措施之间的复杂和独立的关联。在2013年3月至2019年1月期间，收集了来自英格兰120496名16岁以上成年人的数据，他们参加了吸烟工具包研究。其中，18.04%（n = 21 720）为当前吸烟者。测量了SEP的六个指标：社会等级、就业状况、教育程度、住房和汽车拥有量以及收入。考虑到高度共线性，使用岭回归构建模型以评估SEP的每个测量的贡献。吸烟状况最强的预测因素是住房保有权。那些没有自己房子的人吸烟的几率是有房子的人的两倍（比值比[OR] = 2.01）。社会等级、教育程度和收入也是很好的预测因素。社会等级C1（OR = 1.04）、C2（OR = 1.29）、D（OR = 1.39）和E（OR = 1.78）的吸烟几率高于社会等级AB的吸烟几率。同样，具有A级/同等学历的人（OR = 1.15），GCSE/职业（OR = 1.48），其他/仍在学习（OR = 1.12），无16岁以上学历（OR = 1.48）的吸烟几率高于大学学历的人，收入最低的人也是如此。与收入最高的人群相比，第三四分位数（OR = 1.23）、第三四分位数（OR = 1.18）和第二四分位数（OR = 1.06）。吸烟与就业（OR = 1.03）和汽车拥有量（OR = 1.05）之间的关联要小得多。在各种社会经济指标中，住房保有权似乎是英格兰吸烟最强的独立预测因素，其次是社会等级、教育资格和收入。就业状况和汽车拥有量的预测能力最低。本研究使用岭回归，一种技术，考虑到变量之间的高度共线性，以更好地了解SEP和吸烟在英格兰的不同措施之间的独立关联。研究结果提供了指导，当试图识别吸烟风险最大的个人时，可以使用哪些SEP措施，住房保有权被确定为最强的独立预测因子。
To gain a better understanding of the complex and independent associations between different measures of socioeconomic position (SEP) and smoking in England. Between March 2013 and January 2019 data were collected from 120 496 adults aged 16+ in England taking part in the Smoking Toolkit Study. Of these, 18.04% (n = 21 720) were current smokers. Six indicators of SEP were measured: social grade, employment status, educational qualifications, home and car ownership and income. Models were constructed using ridge regression to assess the contribution of each measure of SEP, taking account of high collinearity. The strongest predictor of smoking status was housing tenure. Those who did not own their own home had twice the odds of smoking compared with homeowners (odds ratio [OR] = 2.01). Social grade, educational qualification, and income were also good predictors. Those in social grades C1 (OR = 1.04), C2 (OR = 1.29), D (OR = 1.39), and E (OR = 1.78) had higher odds of smoking than those in social grade AB. Similarly, those with A-level/equivalent (OR = 1.15), GCSE/vocational (OR = 1.48), other/still studying (OR = 1.12), and no post-16 qualifications (OR = 1.48) had higher odds of smoking than those with university qualifications, as did those who earned in the lowest (OR = 1.23), third (OR = 1.18), and second quartiles (OR = 1.06) compared with those earning in the highest. Associations between smoking and employment (OR = 1.03) and car ownership (OR = 1.05) were much smaller. Of a variety of socioeconomic measures, housing tenure appears to be the strongest independent predictor of smoking in England, followed by social grade, educational qualifications, and income. Employment status and car ownership have the lowest predictive power. This study used ridge regression, a technique which takes into account high collinearity between variables, to gain a better understanding of the independent associations between different measures of SEP and smoking in England. The findings provide guidance as to which SEP measures one could use when trying to identifying individuals most at risk from smoking, with housing tenure identified as the strongest independent predictor.
登录
查看更多内容
影响因子：
5.1
作者：
Huisman, M;Kunst, AE;Mackenbach, JP
通讯作者：
Mackenbach, JP
影响因子：
2.9
作者：
Beard, Emma;Brown, Jamie;Michie, Susan
通讯作者：
Michie, Susan
DOI：
10.1111/j.1749-6632.2011.06202.x
发表时间：
2012-01-01
期刊：
ADDICTION REVIEWS
影响因子：
--
作者：
Hiscock, Rosemary;Bauld, Linda;Munafo, Marcus
通讯作者：
Munafo, Marcus
影响因子：
2.5
作者：
HOERL, AE;KENNARD, RW
通讯作者：
KENNARD, RW
影响因子：
4.5
作者：
Fidler, Jennifer A.;Shahab, Lion;West, Robert
通讯作者：
West, Robert