A Formaldehyde Exposure Assessment Tool for Occupants of FEMA Temporary Housing Units

Purpose The purposes of this study were (a) to introduce “language access profiles” as a viable alternative construct to “communication mode” for describing experience with language input during early childhood for deaf and hard-of-hearing (DHH) children; (b) to describe the development of a new tool for measuring DHH children's language access profiles during infancy and toddlerhood; and (c) to evaluate the novelty, reliability, and validity of this tool. Method We adapted an existing retrospective parent report measure of early language experience (the Language Exposure Assessment Tool) to make it suitable for use with DHH populations. We administered the adapted instrument (DHH Language Exposure Assessment Tool [D-LEAT]) to the caregivers of 105 DHH children aged 12 years and younger. To measure convergent validity, we also administered another novel instrument: the Language Access Profile Tool. To measure test–retest reliability, half of the participants were interviewed again after 1 month. We identified groups of children with similar language access profiles by using hierarchical cluster analysis. Results The D-LEAT revealed DHH children's diverse experiences with access to language during infancy and toddlerhood. Cluster analysis groupings were markedly different from those derived from more traditional grouping rules (e.g., communication modes). Test–retest reliability was good, especially for the same-interviewer condition. Content, convergent, and face validity were strong. Conclusions To optimize DHH children's developmental potential, stakeholders who work at the individual and population levels would benefit from replacing communication mode with language access profiles. The D-LEAT is the first tool that aims to measure this novel construct. Despite limitations that future work aims to address, the present results demonstrate that the D-LEAT represents progress over the status quo.

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Biomonitoring of Fusarium spp. Mycotoxins: Perspectives for an Individual Exposure Assessment Tool

Food Science and Technology International ◽

10.1177/1082013210368884 ◽

2010 ◽

Vol 16 (3) ◽

pp. 266-276 ◽

Cited By ~ 14

Author(s):

G. Cano-Sancho ◽

S. Marin ◽

A.J. Ramos ◽

V. Sanchis

Keyword(s):

Exposure Assessment ◽

Dietary Habits ◽

Assessment Tool ◽

Fusarium Species ◽

Risk Groups ◽

Probabilistic Methods ◽

Fusarium Spp ◽

Individual Exposure ◽

The Individual ◽

Current Exposure

Fusarium species are probably the most prevalent toxin-producing fungi of the northern temperate regions and are commonly found on cereals grown in the temperate regions of America, Europe and Asia. Among the toxins formed by Fusarium we find trichothecenes of the A-type or B-type, zearalenone, fumonisins or nivalenol. The current exposure assessment consists of the qualitative and/or quantitative evaluation based on the knowledge of the mycotoxin occurrence in the food and the dietary habits of the population. This process permits quantifying the mycotoxin dietary intake through deterministic or probabilistic methods. Although these methods are suitable to assess the exposure of populations to contaminants and to identify risk groups, they are not recommended to evaluate the individual exposition, due to a low accuracy and sensitivity. On the contrary, the use of biochemical indicators has been proposed as a suitable method to assess individual exposure to contaminants. In this work, several techniques to biomonitor the exposure to fumonisins, deoxynivalenol, zearalenone or T-2 toxin have been reviewed.

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Field test results of an automated exposure assessment tool, the local positioning system (LPS)

Journal of Environmental Monitoring ◽

10.1039/b503581c ◽

2005 ◽

Vol 7 (7) ◽

pp. 736 ◽

Cited By ~ 3

Author(s):

L. A. Lee ◽

S. C. Soderholm ◽

M. M. Flemmer ◽

J. L. Hornsby-Myers

Keyword(s):

Exposure Assessment ◽

Field Test ◽

Assessment Tool ◽

Positioning System ◽

Test Results ◽

Local Positioning System

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“Solitary Deaths” in Temporary Housing Units in the Areas Affected by the Southern Hyogo Earthquake

Prehospital and Disaster Medicine ◽

10.1017/s1049023x00034385 ◽

1999 ◽

Vol 14 (S1) ◽

pp. S71-S72

Author(s):

Yasuhiro Ueno ◽

Migiwa Asano ◽

Hideyuki Nushida ◽

Junko Adachi ◽

Yoshitsugu Tatsuno

Keyword(s):

Temporary Housing ◽

Housing Units

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Multi-objective interior design optimization method based on sustainability concepts for post-disaster temporary housing units

Building and Environment ◽

10.1016/j.buildenv.2020.106742 ◽

2020 ◽

Vol 173 ◽

pp. 106742 ◽

Cited By ~ 1

Author(s):

S.M. Amin Hosseini ◽

Reza Yazdani ◽

Albert de la Fuente

Keyword(s):

Design Optimization ◽

Interior Design ◽

Optimization Method ◽

Temporary Housing ◽

Multi Objective ◽

Post Disaster ◽

Housing Units

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Shift Work and Obesity among Canadian Women: A Cross-Sectional Study Using a Novel Exposure Assessment Tool

10.32920/14668776.v1 ◽

2021 ◽

Author(s):

M. Anne Harris ◽

Natalie McGlynn ◽

Victoria A. Kirsh ◽

Michelle Cotterchio ◽

Victoria Nadalin ◽

...

Keyword(s):

Exposure Assessment ◽

Shift Work ◽

High Probability ◽

Assessment Tool ◽

Population Based ◽

Overweight And Obesity ◽

Related Factors ◽

Cross Sectional ◽

Population Based Study ◽

The Relationship

Background/Objectives It has been suggested that the association between shift work and chronic disease is mediated by an increase in obesity. However, investigations of the relationship between shift work and obesity reveal mixed findings. Using a recently developed exposure assessment tool, this study examined the association between shift work and obesity among Canadian women from two studies: a cohort of university alumni, and a population-based study. Methods Self-administered questionnaire data were used from healthy, currently employed females in a population-based study, the Ontario Women’s Diet and Health case-control study (n = 1611 controls), and from a subset of a of university alumni from the Canadian Study of Diet, Lifestyle, and Health (n = 1097) cohort study. Overweight was defined as BMI=25 to <30, and obesity as BMI=30. Reported occupation was converted to occupational codes and linked to a probability of shift work value derived from Survey of Labour and Income Dynamics data. Regular evenings, nights, or rotating work comprised shift work. Polytomous logistic regression estimated the association between probability of shift work, categorized as near nil, low, medium, and high probability of shift work, on overweight and obesity, controlling for detected confounders. Results In the population-based sample, high probability of shift work was associated with obesity (reference = near nil probability of shift work, OR: 1.88, 95% CI: 1.01–3.51, p = 0.047). In the alumni cohort, no significant association was detected between shift work and overweight or obesity. Conclusions As these analyses found a positive association between high probability of shift work exposure and obesity in a population-based sample, but not in an alumni cohort, it is suggested that the relationship between shift work and obesity is complex, and may be particularly susceptible to occupational and education-related factors within a given population.

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