Examining the Dose–Response Relationship: Applying the Disaster Exposure Matrix to Understand the Mental Health Impacts of Hurricane Sandy

2021 ◽  
Author(s):  
Alexis A. Merdjanoff ◽  
David M. Abramson ◽  
Rachael Piltch-Loeb ◽  
Patricia Findley ◽  
Lori Peek ◽  
...  
Keyword(s):  
Mental Health ◽  
Dose Response ◽  
Hurricane Sandy ◽  
Health Impacts ◽  
Response Relationship ◽  
Dose Response Relationship ◽  
Disaster Exposure

Treated Versus Untreated Mental Health Problems in Adolescents: A Six-year Comparison of Emotional and Behavioral Problem Trajectories

2017 ◽  
Vol 41 (S1) ◽  
pp. s130-s131
Author(s):  
F. Jörg ◽  
D. Raven ◽  
E. Visser ◽  
R. Schoevers ◽  
T. Oldehinkel
Keyword(s):  
Mental Health ◽  
Dose Response ◽  
Real World ◽  
Response Relationship ◽  
Dose Response Relationship ◽  
Problem Behaviour ◽  
The Real ◽  
Clinical Level ◽  
Pre Treatment

IntroductionMultidisciplinary guidelines in adolescent mental health care are based on RCTs, while treatment efficacy can be different from effectiveness seen in ‘the real world’. Studies in the real world conducted so far suggest that treatment has a negligible effect on follow-up symptomatology. However, these studies did not incorporate the pre-treatment trajectory of symptoms nor investigated a dose-response relationship.ObjectivesTo test whether future treatment users and non-users differed in emotional and behavioural problem scores, whether specialist mental health treatment (SMHT) was effective in reducing problem levels while controlling for pre-treatment trajectory, and to seek evidence of a dose-response relationship.MethodsSix-year follow up data were used from the Tracking Adolescents’ Individual Lives Survey (TRAILS). We identified adolescents with a clinical level of problem behaviour on the Child Behaviour Checklist or Youth Self Report and first SMHT between the ages 13 and 16. Adolescents with a clinical level of problem behaviour but without SMHT use served as control group. A psychiatric case register provided data on number of treatment contacts. Using regression analysis, we predicted the effect of treatment on post-treatment problem scores.ResultsTreated adolescents more often had a (severe) diagnosis than untreated adolescents. Pre-treatment trajectories barely differed between treated and untreated adolescents. Treatment predicted an increase in follow-up problem scores, regardless of the number of sessions.ConclusionThe quasi-experimental design calls for modest conclusions. We might however need to take a closer look at real-world service delivery, and invest in developing treatments that can achieve sustainable benefits.Disclosure of interestThe authors have not supplied their declaration of competing interest.

scholarly journals 0901 Dose-Response Relationship Between Insufficient Sleep and Mental Health Symptoms in Collegiate Student Athletes and Non-Athletes

SLEEP ◽  
2019 ◽  
Vol 42 (Supplement_1) ◽  
pp. A362-A362
Author(s):  
Thea Ramsey ◽  
Amy Athey ◽  
Jason Ellis ◽  
Andrew Tubbs ◽  
Robert Turner ◽  
...  
Keyword(s):  
Mental Health ◽  
Dose Response ◽  
Student Athletes ◽  
Response Relationship ◽  
Dose Response Relationship ◽  
Mental Health Symptoms ◽  
Insufficient Sleep ◽  
Health Symptoms

scholarly journals Inter-Individual Variability and Non-linear Dose-Response Relationship in Assessing Human Health Impact From Chemicals in LCA: Addressing Uncertainties in Exposure and Toxicological Susceptibility

2021 ◽  
Vol 2 ◽  
Author(s):  
Li Li ◽  
Dingsheng Li
Keyword(s):  
Human Health ◽  
Dose Response ◽  
Human Exposure ◽  
Population Level ◽  
Health Impact ◽  
Health Impacts ◽  
Response Relationship ◽  
Dose Response Relationship ◽  
Linear Dose ◽  
Non Linear

Current life cycle impact assessment (LCIA) practices use a characterization factor to linearly scale chemical emission to human health impact assuming a homogeneous exposure and toxicological susceptibility for the entire population. However, both exposure and toxicological susceptibility may vary within the population, making the same emission elicit disproportionate impacts. Here we explore how inter-individual variabilities in human exposure and toxicological susceptibility interact to affect the estimated overall health impacts on the population level. For exemplification, we use the PROTEX model to simulate the exposure of the general American population to dieldrin and heptachlor, two organochlorine pesticides that tend to accumulate in food items. Using a Monte-Carlo analysis, we characterize inter-individual variabilities in exposure by considering variations in anthropometrics and dietary patterns between ages, sexes, and racial groups. We assess the overall health impact on the population level in five scenarios with different combinations of assumptions in exposure (homogeneous/heterogeneous) and the dose-response relationship (linear/non-linear, homogeneous/heterogeneous susceptibility). Our results indicate human exposure can vary by a factor of six among the different demographic groups. Combined with a non-linear dose-response relationship with heterogeneous susceptibility, the estimated overall health impact is substantially higher than the results using homogeneous susceptibility. However, the current LCIA practice of using a linear dose-response relationship produces even higher results that may overestimate the health impacts.

A SUBCUTANEOUS INJECTION ASSAY FOR ANTI-ANDROGENS IN THE CHICK

1962 ◽  
Vol 41 (2) ◽  
pp. 268-273 ◽  
Author(s):  
Ralph I. Dorfman
Keyword(s):  
Dose Response ◽  
Subcutaneous Injection ◽  
Response Relationship ◽  
Dose Response Relationship

ABSTRACT The stimulating action of testosterone on the chick's comb can be inhibited by the subcutaneous injection of 0.1 mg of norethisterone or Ro 2-7239 (2-acetyl-7-oxo-1,2,3,4,4a,4b,5,6,7,9,10,10a-dodecahydrophenanthrene), 0.5 mg of cortisol or progesterone, and by 4.5 mg of Mer-25 (1-(p-2-diethylaminoethoxyphenyl)-1-phenyl-2-p-methoxyphenyl ethanol). No dose response relationship could be established. Norethisterone was the most active anti-androgen by this test.

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