The Identification of a Threshold of Long Work Hours for Predicting Elevated Risks of Adverse Health Outcomes.

about

Relationship between menstruation status and work conditions in Japan Sleep, Health and Wellness at Work: A Scoping Review.

P2860

Q42280818-B22DC6D6-A882-42DB-8EF4-8DA209AFA9ED Q47140330-D54B5B09-0250-4098-A274-56F8BFE45971

P2860

The Identification of a Threshold of Long Work Hours for Predicting Elevated Risks of Adverse Health Outcomes.

Item

http://www.wikidata.org/entity/Q40220368

description

2017 nî lūn-bûn

@nan

2017年の論文

@ja

2017年論文

@yue

2017年論文

@zh-hant

2017年論文

@zh-hk

2017年論文

@zh-mo

2017年論文

@zh-tw

2017年论文

@wuu

2017年论文

@zh

2017年论文

@zh-cn

name

The Identification of a Thresh ...... ks of Adverse Health Outcomes.

@en

type

Item

label

The Identification of a Thresh ...... ks of Adverse Health Outcomes.

@en

prefLabel

The Identification of a Thresh ...... ks of Adverse Health Outcomes.

@en

P1476

The Identification of a Thresh ...... ks of Adverse Health Outcomes.

@en

P2093

David Gimeno Ruiz de Porras

http://www.w3.org/2001/XMLSchema#string

Jack L Follis

http://www.w3.org/2001/XMLSchema#string

Lisa A Pompeii

http://www.w3.org/2001/XMLSchema#string

Robert E Roberts

http://www.w3.org/2001/XMLSchema#string

Sadie H Conway

http://www.w3.org/2001/XMLSchema#string

P2860

Heart Disease and Stroke Statistics--2015 Update: A Report From the American Heart Association

Long working hours, safety, and health: toward a national research agenda

Dose-response relation between work hours and cardiovascular disease risk: findings from the study of income dynamics

The impact of overtime and long work hours on occupational injuries and illnesses: new evidence from the United States

Work-schedule characteristics and reported musculoskeletal disorders of registered nurses

Long working hours and risk of coronary heart disease and stroke: a systematic review and meta-analysis of published and unpublished data for 603,838 individuals

Chronic disease risks from exposure to long-hour work schedules over a 32-Year period

Long working hours and cancer risk: a multi-cohort study

Self-rated health and mortality: a review of twenty-seven community studies

Predicting the occurrence of major adverse cardiac events within 30 days of a vascular surgery: an empirical comparison of the minimum p value method and ROC curve approach using individual patient data meta-analysis.

P2880

20052717

http://www.w3.org/2001/XMLSchema#string

P304

173-183

http://www.w3.org/2001/XMLSchema#string

P31

scholarly article

P356

10.1093/AJE/KWX003

http://www.w3.org/2001/XMLSchema#string

P407

English

P433

http://www.w3.org/2001/XMLSchema#string

P478

186

http://www.w3.org/2001/XMLSchema#string

P577

2017-04-28T00:00:00Z

http://www.w3.org/2001/XMLSchema#dateTime

P698

28459945

http://www.w3.org/2001/XMLSchema#string

P859

National Institute for Occupational Safety and Health

P921

risk assessment

epidemiology

health effect

cardiovascular disease

The Identification of a Threshold of Long Work Hours for Predicting Elevated Risks of Adverse Health Outcomes.

about

P2860

P2860

The Identification of a Threshold of Long Work Hours for Predicting Elevated Risks of Adverse Health Outcomes.

description

name

type

label

prefLabel

P1433

P1476

P2093

P2860

P2880

P304

P31

P356

P407

P433

P478

P577

P698

P859

P921

P356

P1433

P1476

P2093

P2860

P2880

P304

P31

P356

P407

P433

P478

P577

P698

P859

P921