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.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
Emma应助多喝水采纳,获得10
1秒前
May发布了新的文献求助10
1秒前
1秒前
hhhhhalf发布了新的文献求助20
2秒前
2秒前
3秒前
utopia完成签到,获得积分20
3秒前
科研通AI2S应助zeng采纳,获得10
3秒前
4秒前
啦啦啦发布了新的文献求助10
4秒前
yar发布了新的文献求助10
4秒前
Kuhaku完成签到,获得积分10
5秒前
阮绿凝完成签到,获得积分10
5秒前
5秒前
5秒前
aa关闭了aa文献求助
6秒前
6秒前
6秒前
7秒前
7秒前
7秒前
milkcoffe发布了新的文献求助30
8秒前
诚心谷南发布了新的文献求助20
8秒前
yoyoo完成签到,获得积分20
8秒前
FeC发布了新的文献求助10
9秒前
虹虹完成签到,获得积分10
9秒前
田様应助Tigher采纳,获得30
10秒前
mimoma发布了新的文献求助10
10秒前
10秒前
10秒前
乱武完成签到,获得积分10
11秒前
付绒完成签到,获得积分10
11秒前
馒头发布了新的文献求助10
11秒前
klbzw03发布了新的文献求助10
11秒前
11秒前
大牛发布了新的文献求助10
12秒前
无人如之发布了新的文献求助10
12秒前
深情安青应助Bran采纳,获得10
13秒前
yoyoo发布了新的文献求助10
13秒前
酷波er应助123采纳,获得10
13秒前
高分求助中
The Mother of All Tableaux Order, Equivalence, and Geometry in the Large-scale Structure of Optimality Theory 2400
Ophthalmic Equipment Market by Devices(surgical: vitreorentinal,IOLs,OVDs,contact lens,RGP lens,backflush,diagnostic&monitoring:OCT,actorefractor,keratometer,tonometer,ophthalmoscpe,OVD), End User,Buying Criteria-Global Forecast to2029 2000
Cognitive Neuroscience: The Biology of the Mind 1000
Cognitive Neuroscience: The Biology of the Mind (Sixth Edition) 1000
Optimal Transport: A Comprehensive Introduction to Modeling, Analysis, Simulation, Applications 800
Official Methods of Analysis of AOAC INTERNATIONAL 600
ACSM’s Guidelines for Exercise Testing and Prescription, 12th edition 588
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 3958608
求助须知:如何正确求助?哪些是违规求助? 3504895
关于积分的说明 11120971
捐赠科研通 3236246
什么是DOI,文献DOI怎么找? 1788726
邀请新用户注册赠送积分活动 871297
科研通“疑难数据库(出版商)”最低求助积分说明 802680