NIPSA: a new scale for measuring non-illness predictors of sickness absence

Harvey Samuel B.; Wang Min-Jung; Dorrington Sarah; Henderson Max; Madan Ira; Hatch Stephani L.; Hotopf Matthew

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NIPSA: a new scale for measuring non-illness predictors of sickness absence

机译：nipsa：测量疾病缺席的非疾病预测因子的新规模

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Objectives We describe the development and initial validation of a new scale for measuring non-illness factors that are important in predicting occupational outcomes, called the NIPSA (non-illness predictors of sickness absence) scale.

机译：目的我们描述了一种新规模的发展和初始验证，用于测量在预测职业成果中重要的非疾病因素，称为NIPSA（疾病缺席的非疾病预测因子）。

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《Occupational and environmental medicine》 |2018年第2期|共7页
作者
Harvey Samuel B.; Wang Min-Jung; Dorrington Sarah; Henderson Max; Madan Ira; Hatch Stephani L.; Hotopf Matthew;
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作者单位

Kings Coll London Inst Psychiat Psychol &

Neurosci London England;

Univ New South Wales Sch Psychiat Sydney NSW Australia;

Kings Coll London Inst Psychiat Psychol &

Neurosci London England;

Kings Coll London Inst Psychiat Psychol &

Neurosci London England;

Guys &

St Thomas NHS Trust London England;

Kings Coll London Inst Psychiat Psychol &

Neurosci London England;

Kings Coll London Inst Psychiat Psychol &

Neurosci London England;

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原文格式 PDF
正文语种 eng
中图分类劳动卫生;
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专利

1. NIPSA: a new scale for measuring non-illness predictors of sickness absence [J] . Harvey Samuel B., Wang Min-Jung, Dorrington Sarah, Occupational and environmental medicine . 2018,第2期

机译：nipsa：测量疾病缺席的非疾病预测因子的新规模
2. Predicting long-term sickness absence among employees with frequent sickness absence [J] . Notenbomer Annette, van Rhenen Willem, Groothoff Johan W., International archives of occupational and environmental health: Internationales Archiv fur Arbeits- und Umweltmedizin . 2019,第4期

机译：预测常见疾病缺席的员工之间的长期疾病缺席
3. Approaches for predicting long-term sickness absence. Re: Schouten et al. “Screening manual and office workers for risk of long-term sickness absence: cut-off points for the Work Ability Index” [J] . van Amelsvoort LGPM Scandinavian journal of Work, Environment and Health . 2015,第3期

机译：预测长期疾病缺席的方法。回复：Schouten等。 “筛查体力劳动者和办公室工作人员是否长期缺乏病：工作能力指数的临界点”
4. Fitness Parameters Recorded at the Annual Health Review of a UK Offshore Workforce: Are These Parameters Predictive of Sickness Absence? [C] . Will Ponsonby SPE International Conference on Health, Safety Environment in Oil and Gas Exploration and Production . 2008

机译：在英国海上劳动力的年度卫生审查中记录的健身参数：这些参数是否可预测疾病缺席？
5. Visual-spatial processing and mathematics achievement: The predictive ability of the visual-spatial measures of the Stanford-Binet intelligence scales, Fifth Edition and the Wechsler Intelligence Scale for Children -Fourth Edition. [D] . Clifford, Eldon. 2008

机译：视觉空间处理和数学成就：Stanford-Binet智力量表（第五版）和Wechsler儿童智力量表（第四版）的视觉空间量度的预测能力。
6. Predicting long-term sickness absence among employees with frequent sickness absence [O] . Annette Notenbomer, Willem van Rhenen, Johan W. Groothoff, -1

机译：预测经常缺勤的员工长期缺勤
7. NIPSA:a new scale for measuring non-illness predictors of sickness absence [O] . Harvey, Samuel B, Wang, Min-Jung, Dorrington, Sarah, 2017

机译：NIPSA：一种用于测量疾病缺席的非疾病预测指标的新量表

NIPSA: a new scale for measuring non-illness predictors of sickness absence

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