清晨好,您是今天最早来到科研通的研友!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您科研之路漫漫前行!

School Neighborhood Disadvantage as a Predictor of Long-Term Sick Leave Among Teachers: Prospective Cohort Study

病假 置信区间 人口学 住所 泊松回归 医学 弱势群体 比率 前瞻性队列研究 危险系数 老年学 环境卫生 人口 经济 社会学 外科 内科学 经济增长 物理疗法
作者
Mikko Virtanen,Mika Kivimäki,Jaana Pentti,Tuula Oksanen,Kirsi Ahola,Anne Linna,Anne Kouvonen,Paula Salo,Jussi Vahtera
出处
期刊:American Journal of Epidemiology [Oxford University Press]
卷期号:171 (7): 785-792 被引量:34
标识
DOI:10.1093/aje/kwp459
摘要

This ongoing prospective study examined characteristics of school neighborhood and neighborhood of residence as predictors of sick leave among school teachers. School neighborhood income data for 226 lower-level comprehensive schools in 10 towns in Finland were derived from Statistics Finland and were linked to register-based data on 3,063 teachers with no long-term sick leave at study entry. Outcome was medically certified (>9 days) sick leave spells during a mean follow-up of 4.3 years from data collection in 2000–2001. A multilevel, cross-classified Poisson regression model, adjusted for age, type of teaching job, length and type of job contract, school size, baseline health status, and income level of the teacher's residential area, showed a rate ratio of 1.30 (95% confidence interval: 1.03, 1.63) for sick leave among female teachers working in schools located in low-income neighborhoods compared with those working in high-income neighborhoods. A low income level of the teacher's residential area was also independently associated with sick leave among female teachers (rate ratio = 1.50, 95% confidence interval: 1.18, 1.91). Exposure to both low-income school neighborhoods and low-income residential neighborhoods was associated with the greatest risk of sick leave (rate ratio = 1.71, 95% confidence interval: 1.27, 2.30). This study indicates that working and living in a socioeconomically disadvantaged neighborhood is associated with increased risk of sick leave among female teachers.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
坦率雪枫完成签到 ,获得积分10
1秒前
charry完成签到,获得积分10
2秒前
Ava应助科研通管家采纳,获得10
2秒前
小蘑菇应助科研通管家采纳,获得10
2秒前
格格完成签到,获得积分10
6秒前
bwx完成签到,获得积分10
22秒前
楠瓜发布了新的文献求助10
30秒前
想多多发顶刊完成签到 ,获得积分10
34秒前
zhangwenjie完成签到 ,获得积分10
35秒前
40秒前
活着毕业完成签到 ,获得积分10
41秒前
Robin完成签到 ,获得积分10
42秒前
英俊小兔子完成签到,获得积分10
43秒前
柯彦完成签到 ,获得积分10
44秒前
粗暴的镜子完成签到,获得积分10
46秒前
凌泉完成签到 ,获得积分10
50秒前
郭长银完成签到 ,获得积分10
52秒前
三分之一星辰完成签到 ,获得积分10
52秒前
刘丰完成签到 ,获得积分10
56秒前
兴钬完成签到 ,获得积分0
57秒前
幽默滑板完成签到 ,获得积分10
1分钟前
兜有米完成签到 ,获得积分10
1分钟前
好牛完成签到,获得积分10
1分钟前
kryptonite完成签到 ,获得积分10
1分钟前
Benhnhk21完成签到,获得积分10
1分钟前
GoriaChan完成签到 ,获得积分10
1分钟前
万能图书馆应助好牛采纳,获得10
1分钟前
pengyh8完成签到 ,获得积分10
1分钟前
xiuxiu125完成签到,获得积分10
1分钟前
1分钟前
忧郁荔枝完成签到 ,获得积分10
1分钟前
好牛发布了新的文献求助10
1分钟前
king完成签到 ,获得积分10
1分钟前
少年完成签到 ,获得积分10
1分钟前
mzhang2完成签到 ,获得积分10
1分钟前
任性铅笔完成签到 ,获得积分10
2分钟前
Regulusyang完成签到,获得积分10
2分钟前
2分钟前
Nn完成签到 ,获得积分10
2分钟前
月涵完成签到 ,获得积分10
2分钟前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
AnnualResearch andConsultation Report of Panorama survey and Investment strategy onChinaIndustry 1000
卤化钙钛矿人工突触的研究 1000
Engineering for calcareous sediments : proceedings of the International Conference on Calcareous Sediments, Perth 15-18 March 1988 / edited by R.J. Jewell, D.C. Andrews 1000
Continuing Syntax 1000
Signals, Systems, and Signal Processing 610
2026 Hospital Accreditation Standards 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6262544
求助须知:如何正确求助?哪些是违规求助? 8084657
关于积分的说明 16891455
捐赠科研通 5333187
什么是DOI,文献DOI怎么找? 2838925
邀请新用户注册赠送积分活动 1816335
关于科研通互助平台的介绍 1670049